Ranga Raju Vatsavai

Also known as: Raju

GeoSpatial AI, Machine Learning, Data Mining, Spatial and Temporal, Remote Sensing, Image and Video Understanding, Computer Vision, Crop Biomass Monitoring, Settlement Mapping, HPC, Spatial Databases, Climate Smart Agriculture and Forestry

Works (55)

Updated: March 9th, 2026 07:12

2026 article

A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions

Cavalheiro, R., Aguiar, A. M., Vatsavai, R. R., Jain, M., Hammond, W. M., Hodge, G., … Fritsche-Neto, R. (2026, February 9). (Vol. 2). Vol. 2.

By: R. Cavalheiro*, A. Aguiar *, R. Vatsavai n , M. Jain  n, W. Hammond *, G. Hodge *, J. Acosta *, R. Fritsche-Neto

topics (OpenAlex): Species Distribution and Climate Change; Forest Insect Ecology and Management; Wood and Agarwood Research
Sources: NC State University Libraries, NC State University Libraries
Added: February 10, 2026

2026 article

Integrating Environmental Covariates and Growth Data to Optimize Eucalyptus Clonal Allocation Across a Plantation Landbase

Cavalheiro, R., Dantas, D., Vatsavai, R. R., Logasundar, M., Hodge, G., Yarramsetti, H., … Acosta, J. J. (2026, January 1). SSRN Electronic Journal.

By: R. Cavalheiro, D. Dantas, R. Vatsavai , M. Logasundar, G. Hodge, H. Yarramsetti, O. Bison, B. Lima ...

topics (OpenAlex): Forest ecology and management; Plant Water Relations and Carbon Dynamics; Genetic and phenotypic traits in livestock
Source: ORCID
Added: March 3, 2026

2025 article

Deep Learning Based Forest Burned Area Detection

Bugada, A., Pillalamarri, K., Wan, K., & Vatsavai, R. R. (2025, August 3).

By: A. Bugada n, K. Pillalamarri n, K. Wan n & R. Vatsavai n 

topics (OpenAlex):
Sources: NC State University Libraries, NC State University Libraries
Added: November 26, 2025

2025 article

Foundation Models for Semantic Segmentation of Thick/Thin Clouds and Cloud-shadows: A Comparative Study

Nguyen, C., & Vatsavai, R. R. (2025, November 3).

By: C. Nguyen n & R. Vatsavai n 

topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing in Agriculture; Advanced Neural Network Applications
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: December 14, 2025

2025 article

Multi-country pine species allocation under different climate scenarios

Cavalheiro, R., Vatsavai, R. R., Hodge, G., & Acosta, J. J. (2025, September 9). Ecological Modelling, Vol. 9.

By: R. Cavalheiro n, R. Vatsavai n , G. Hodge n & J. Acosta n 

topics (OpenAlex): Forest ecology and management; Forest Management and Policy; Ecology and Vegetation Dynamics Studies
Sources: NC State University Libraries, NC State University Libraries
Added: March 4, 2026

2025 article

Toward a Multimodal Fusion Framework For Polar Sea Ice Classification using Image and Point Cloud Satellite Datasets

Lechamo, N. G., Iqrah, J. M., Vatsavai, R. R., & Prasad, S. (2025, November 3).

By: N. Lechamo *, J. Iqrah *, R. Vatsavai n  & S. Prasad *

topics (OpenAlex): Arctic and Antarctic ice dynamics; Cryospheric studies and observations; Climate change and permafrost
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: December 3, 2025

2024 article

A Deep Learning Based Cloud Imputation Framework

Yarramsetti, H., Javali, K., Logasundar, M., Li, R., & Vatsavai, R. R. (2024, December 9). 2024 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, pp. 786–793.

By: H. Yarramsetti  n, K. Javali n, M. Logasundar n, R. Li  n & R. Vatsavai n 

author keywords: Remote Sensing; Cloud Imputation; Deep Learning
topics (OpenAlex): Cloud Computing and Resource Management
Sources: Web Of Science, NC State University Libraries
Added: July 21, 2025

2024 article

Geospatial Foundation Models: Recent Advances and Applications

Vatsavai, R. R. (2024, October 17). PROCEEDINGS OF THE 12TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON ANALYTICS FOR BIG GEOSPATIAL DATA, BIGSPATIAL 2024, pp. 30–33.

By: R. Vatsavai n 

author keywords: Geospatial AI; Foundation Models; Geospatial Applications
topics (OpenAlex): Geographic Information Systems Studies; Geological Modeling and Analysis; Data Management and Algorithms
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 1, 2024

2024 article

Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery

Yang, X., & Vatsavai, R. R. (2024, January 1). Lecture Notes in Computer Science, Vol. 14950, pp. 413–428.

By: X. Yang n  & R. Vatsavai n 

author keywords: Deep Learning; Remote Sensing; Haze Removal; Physics Guided Machine Learning
topics (OpenAlex): Remote-Sensing Image Classification; Advanced Image Fusion Techniques; Image Enhancement Techniques
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: September 8, 2024

2023 article

Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer

Zhao, Y., Yang, X., & Vatsavai, R. R. (2023, January 1). Lecture Notes in Computer Science, Vol. 14175, pp. 37–53.

By: Y. Zhao n, X. Yang n  & R. Vatsavai n 

author keywords: Cloud imputation; Multi-sensor; Deep learning; Style transfer
topics (OpenAlex): Remote-Sensing Image Classification; Advanced Image Fusion Techniques; Remote Sensing in Agriculture
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024

2023 article

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent

Liu, J., Mei, Z., Peng, K., & Vatsavai, R. R. (2023, December 4). 2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023, pp. 1543–1550.

By: J. Liu n, Z. Mei n, K. Peng n & R. Vatsavai n 

topics (OpenAlex): Topic Modeling; Speech and dialogue systems; Multimodal Machine Learning Applications
TL;DR: A novel method is presented, PK-NCLI, that is able to accurately and efficiently identify relevant auxiliary information to improve the quality of conversational responses by learning the relevance among persona, chat history, and knowledge background through lowlevel normalized contextual latent interaction. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2024

2023 article

Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery

Yang, X., Zhao, Y., & Vatsavai, R. R. (2023, August 23). PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023, pp. 151–160.

By: X. Yang n , Y. Zhao n & R. Vatsavai n 

author keywords: Neural Networks; Imputation; Remote Sensing; Multi-sensor; Knowledge-guided ML
topics (OpenAlex): Advanced Image Fusion Techniques; Remote-Sensing Image Classification; Remote Sensing in Agriculture
TL;DR: This work presents a knowledge-guided harmonization model that maps the reflectance response from one satellite collection to another based on the spectral distribution of the cloud-free pixels, and presents a novel harmonization-guided residual network to impute the areas under clouds. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 8, 2024

2023 article

Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images

Samudrala, S. V. V. K., Zhao, Y., & Vatsavai, R. R. (2023, July 16). IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, pp. 5158–5161.

By: S. Samudrala n, Y. Zhao n & R. Vatsavai n 

topics (OpenAlex): Advanced Image Processing Techniques; Image and Signal Denoising Methods; Advanced Image Fusion Techniques
TL;DR: A new deep learning architecture based on Wide Activation Super Resolution (WDSR) network combined with an Adaptive Instance Normalization (AdaIN) based style transfer for imputing holes (missing pixels) in orthorectified images is presented. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024

2023 article

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring

Liu, J., Symons, C., & Vatsavai, R. R. (2023, November 6). 2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI, pp. 250–257.

By: J. Liu n, C. Symons & R. Vatsavai n 

author keywords: Conversational AI; Dialogue Systems; Persona; Personalization; Multi-Modal Data
topics (OpenAlex): Topic Modeling; Persona Design and Applications; Sentiment Analysis and Opinion Mining
TL;DR: This paper presents a novel Persona-Coded Poly-Encoder method that leverages persona information in a multi-stream encoding scheme to improve the quality of response generation for conversations and offers a path to better utilization of multi-modal data in conversational tasks. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 4, 2024

2023 article

Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity

Mei, Z., Vatsavai, R., & Chirkova, R. (2023, November 1).

By: Z. Mei n, R. Vatsavai n  & R. Chirkova  n

topics (OpenAlex): Smart Agriculture and AI; Remote Sensing in Agriculture; Water Quality Monitoring Technologies
TL;DR: This work proposes a simple Q-learning-based simulation tool for studying the dynamic application of fertilizer and shows that the approach is computationally efficient while matching or performing better than other approaches. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: ORCID
Added: January 26, 2024

2023 article

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning

Gadiraju, K. K., & Vatsavai, R. R. (2023, January 1). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 16, pp. 4699–4712.

By: K. Gadiraju n & R. Vatsavai n 

author keywords: Agriculture; crop classification; deep learning; remote sensing; transfer learning
topics (OpenAlex): Remote Sensing in Agriculture; Remote-Sensing Image Classification; Remote Sensing and Land Use
TL;DR: The findings indicate that deep neural networks pretrained on a different domain dataset cannot be used as off-the-shelf feature extractors and that using the pretrained network weights as initial weights for training on the remote sensing dataset or freezing the early layers of the Pretrained network improves the performance compared to training the network from scratch. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 3, 2023

2022 article

Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery

Yang, X., Zhao, Y., & Vatsavai, R. R. (2022, August 21). 2022 26th International Conference on Pattern Recognition (ICPR), pp. 643–649.

By: X. Yang n , Y. Zhao n & R. Vatsavai n 

topics (OpenAlex): Advanced Image Fusion Techniques; Remote-Sensing Image Classification; Automated Road and Building Extraction
TL;DR: A novel deep learning-based imputation technique for inferring spectral values under the clouds using nearby cloud-free satellite image observations is presented and it is demonstrated that the ECA method is consistently better than all other methods. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 20, 2023

2022 article

Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery

Zhao, Y., Yang, X., & Vatsavai, R. R. (2022, December 1). 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 97–104.

By: Y. Zhao n, X. Yang n  & R. Vatsavai n 

author keywords: Remote sensing; Cloud imputation; Benchmark; Multi-resolution; Deep learning
topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing in Agriculture; Advanced Image Fusion Techniques
TL;DR: A new benchmark data set consisting of images from two widely used and publicly available satellite images, Landsat-8 and Sentinel-2, and a new multi-stream deep residual network (MDRN) fills an important gap in the existing benchmark datasets, which allows exploitation of multi-resolution spectral information from the cloud-free regions of temporally nearby images. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2022 article

Persona-Based Conversational AI: State of the Art and Challenges

Liu, J., Symons, C., & Vatsavai, R. R. (2022, November 1). 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

By: J. Liu n, C. Symons & R. Vatsavai n 

topics (OpenAlex): Persona Design and Applications; AI in Service Interactions; Topic Modeling
TL;DR: This study evaluates two strong baseline methods, the Ranking Profile Memory Network and the Poly-Encoder, on the NeurIPS ConvAI2 benchmark dataset and elucidates the importance of incorporating persona information into conversational systems. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2022 article

Real-Time Change Detection At the Edge

Gadiraju, K. K., Chen, Z., Ramachandra, B., & Vatsavai, R. R. (2022, December 1). 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 776–781.

By: K. Gadiraju n, Z. Chen *, B. Ramachandra & R. Vatsavai n 

author keywords: edge computing; Gaussian Mixture Models; change detection; precision agriculture; real time computing
topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing in Agriculture; Smart Agriculture and AI
TL;DR: This paper demonstrates how an unsupervised GMM-based real-time change detection method at the edge can be used to identify weeds in real- time, and evaluates the scalability of the method on edge computing and traditional devices such as NVIDIA Jetson TX2, RTX 2080, and traditional Intel CPUs. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2021 article

A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections

Zhao, Y., Yang, X., & Vatsavai, R. R. (2021, December 15). 2021 IEEE International Conference on Big Data (Big Data), pp. 3780–3783.

By: Y. Zhao n, X. Yang n  & R. Vatsavai n 

author keywords: SpatioTemporal Asset Catalog (STAC); Spatiotemporal Indexing; Remote Sensing Data Discovery
topics (OpenAlex): Data Management and Algorithms; Advanced Database Systems and Queries; Geographic Information Systems Studies
TL;DR: Experimental evaluation shows that the spatiotemporal indexing based queries of this highly scalable STAC API based system are 1000x faster than standard STACAPI server. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 5, 2022

2021 article

Local Clustering with Mean Teacher for Semi-supervised learning

Chen, Z., Dutton, B., Ramachandra, B., Wu, T., & Vatsavai, R. R. (2021, January 10). 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR).

By: Z. Chen n, B. Dutton n, B. Ramachandra n, T. Wu n  & R. Vatsavai n 

topics (OpenAlex): Machine Learning and Data Classification; Domain Adaptation and Few-Shot Learning; Anomaly Detection Techniques and Applications
TL;DR: This work proposes a simple yet effective method called Local Clustering (LC) to mitigate the effect of confirmation bias in the Mean Teacher model and demonstrates on semi-supervised benchmark datasets SVHN and CIFAR-10 that adding the LC loss to MT yields significant improvements compared to MT and performance comparable to the state of the art in semi- supervised learning. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021

2021 article

Perceptual metric learning for video anomaly detection

Ramachandra, B., Jones, M., & Vatsavai, R. R. (2021, March 22). Machine Vision and Applications, Vol. 32.

By: B. Ramachandra n, M. Jones * & R. Vatsavai n 

author keywords: Video anomaly detection; Metric learning; Video surveillance; Siamese neural networks
topics (OpenAlex): Anomaly Detection Techniques and Applications; Artificial Immune Systems Applications; Data-Driven Disease Surveillance
TL;DR: This work introduces a new approach to localize anomalies in surveillance video using a Siamese convolutional neural network to learn a metric between a pair of video patches, which is used to measure the perceptual distance between each video patch in the testing video and the video patches found in normal training video. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 5, 2021

2020 article

A Survey of Single-Scene Video Anomaly Detection

Ramachandra, B., Jones, M., & Vatsavai, R. R. (2020, January 1). IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 5.

By: B. Ramachandra n, M. Jones* & R. Vatsavai n 

author keywords: Anomaly detection; Computational modeling; Cameras; Training; Buildings; Legged locomotion; Feeds; Video anomaly detection; abnormal event detection; surveillance
MeSH headings : Algorithms
topics (OpenAlex): Anomaly Detection Techniques and Applications; Video Surveillance and Tracking Methods; Artificial Immune Systems Applications; Human Pose and Action Recognition; Video Analysis and Summarization
TL;DR: This article summarizes research trends on the topic of anomaly detection in video feeds of a single scene and categorizes and situates past research into an intuitive taxonomy, and provides a comprehensive comparison of the accuracy of many algorithms on standard test sets. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 23, 2022

2018 article

Anomalous cluster detection in spatiotemporal meteorological fields

Ramachandra, B., Dutton, B., & Vatsavai, R. R. (2018, December 26). Statistical Analysis and Data Mining The ASA Data Science Journal, Vol. 12, pp. 88–100.

By: B. Ramachandra n, B. Dutton n & R. Vatsavai n 

author keywords: anomaly detection; clustering; spatiotemporal data mining
topics (OpenAlex): Anomaly Detection Techniques and Applications; Hydrology and Drought Analysis; Data-Driven Disease Surveillance
TL;DR: This paper develops a method for extreme event detection in meteorological datasets that follows from well known distribution‐based anomaly detection approaches and generalizes the Mahalanobis distance across distributions of different dimensionalities. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019

2018 article

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery

Pool, N., & Vatsavai, R. R. (2018, November 6). BIGSPATIAL 2018: PROCEEDINGS OF THE 7TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON ANALYTICS FOR BIG GEOSPATIAL DATA (BIGSPATIAL-2018), pp. 57–62.

By: N. Pool  n & R. Vatsavai n 

author keywords: Deformable part models (DPMs); complex geospatial objects
topics (OpenAlex): Remote-Sensing Image Classification; Advanced Image and Video Retrieval Techniques; Advanced Neural Network Applications
TL;DR: The landscape of research regarding DPMs is investigated, how this class of methods for object detection have evolved, and what remains to be explored to make the method more suitable for high-level, complex geospatial object understanding. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 1, 2019

2018 article

FUTURES-DPE

Shashidharan, A., Vatsavai, R. R., & Meentemeyer, R. K. (2018, November 6). 26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018), pp. 464–467.

By: A. Shashidharan n, R. Vatsavai n  & R. Meentemeyer n 

author keywords: Geosimulation; Distributed Computing; Computational Steering
topics (OpenAlex): Distributed and Parallel Computing Systems; Data Management and Algorithms; 3D Modeling in Geospatial Applications
TL;DR: A co-scheduling approach for geosimulations in a resource constrained HPC environment is designed and a second design is presented which allows dynamic provisioning of resources in an HPC environments based on run-time users' demands. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 2, 2019

2018 article

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images

Gadiraju, K. K., Vatsavai, R. R., Kaza, N., Wibbels, E., & Krishna, A. (2018, November 1). 2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), pp. 1397–1404.

By: K. Gadiraju  n, R. Vatsavai n , N. Kaza *, E. Wibbels* & A. Krishna *

author keywords: remote-sensing; image-classification; informal-settlements
topics (OpenAlex): Remote-Sensing Image Classification; Automated Road and Building Extraction; Remote Sensing and Land Use
TL;DR: This paper performs several experiments to compare and contrast how various per-pixel based classification methods, when combined with various features perform in detecting slums, and explored a deep neural network, which showed better accuracy than the pixel based methods. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 17, 2019

2018 article

Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping

Ramachandra, B., Nawathe, P., Monroe, J., Han, K., Ham, Y., & Vatsavai, R. R. (2018, June 13). Journal of Infrastructure Systems, Vol. 24.

By: B. Ramachandra n, P. Nawathe n, J. Monroe  n, K. Han n , Y. Ham * & R. Vatsavai n 

topics (OpenAlex): 3D Surveying and Cultural Heritage; Thermography and Photoacoustic Techniques; Infrared Target Detection Methodologies
TL;DR: Leveraging thermography for managing built environments has become prevalent as a robust tool for detecting, analyzing, and reporting their performance in a nondestructive manner. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 19, 2018

2017 article

Hierarchical change detection framework for biomass monitoring

Chen, Z., Ramachandra, B., & Vatsavai, R. R. (2017, July 1). 2017 Ieee International Geoscience and Remote Sensing Symposium (Igarss), pp. 620–623.

By: Z. Chen n, B. Ramachandra n & R. Vatsavai n 

topics (OpenAlex): Remote Sensing in Agriculture; Remote-Sensing Image Classification; Remote Sensing and Land Use
TL;DR: A nearest neighbor based hierarchical change detection methodology for analyzing multi-temporal remote sensing imagery and shows that K-Means over-detects changes in comparison to the proposed method. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 article

High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

Bhangale, U., Durbha, S. S., King, R. L., Younan, N. H., & Vatsavai, R. (2017, April 10). Remote Sensing of Environment, Vol. 202, pp. 28–44.

By: U. Bhangale *, S. Durbha *, R. King*, N. Younan * & R. Vatsavai n 

author keywords: High performance computing (HPC); Graphics processing unit (GPU); Oil spill; Morphological attribute profiles
topics (OpenAlex): Oil Spill Detection and Mitigation; Marine and coastal ecosystems; Atmospheric and Environmental Gas Dynamics
TL;DR: This work is oil spill detection from voluminous multi-temporal LANDSAT-7 imagery using high performance computing technologies such as graphics processing units (GPUs) and Message Passing Interface (MPI) to speed up the detection process and provide rapid response. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 article

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap

Prasad, S. K., Aghajarian, D., McDermott, M., Shah, D., Mokbel, M., Puri, S., … Wang, S. (2017, June 1). 2017 Ieee 6th International Congress on Big Data (Bigdata Congress 2017), pp. 232–250.

By: S. Prasad *, D. Aghajarian *, M. McDermott*, D. Shah*, M. Mokbel *, S. Puri *, S. Rey *, S. Shekhar * ...

author keywords: High performance computing; Spatial data mining; Remote sensing data; Medical images; Spatial econometrics; Map-reduce systems; CyberGIS; Parallel algorithms and data structures
topics (OpenAlex): Data Management and Algorithms; Scientific Computing and Data Management; Distributed and Parallel Computing Systems
TL;DR: This vision paper reviews the current state ofart and lays out emerging research challenges in parallel processing of spatial-temporal large datasets relevant to a variety of scientific communities and requires a multidisciplinary effort to significantly advance domain research and have a broad impact on the society. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 article

Semi-supervised deep generative models for change detection in very high resolution imagery

Connors, C., & Vatsavai, R. R. (2017, July 1). 2017 Ieee International Geoscience and Remote Sensing Symposium (Igarss), pp. 1063–1066.

By: C. Connors n & R. Vatsavai n 

topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing in Agriculture; Remote Sensing and Land Use
TL;DR: A semi-supervised deep generative model for change detection in very high resolution multispectral and bitemporal imagery is explored and an auxiliary variational autoencoder is constructed that infers class labels without incurring high sample complexity costs. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2016 article

A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery

Hong, S., & Vatsavai, R. R. (2016, June 1). 2016 Ieee International Congress on Big Data - Bigdata Congress 2016, pp. 275–282.

By: S. Hong n & R. Vatsavai n 

author keywords: Probabilistic Change Detection; Satellite Image Processing; Spatial Data Mining; OpenMP
topics (OpenAlex): Remote-Sensing Image Classification; Geochemistry and Geologic Mapping; Remote Sensing in Agriculture
TL;DR: This work presents a sliding window based approach that produces changes at the native image resolution through thread-level parallelization on shared memory architectures and shows a 91% performance improvement compared to its sequential counterpart. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Detecting Extreme Events in Gridded Climate Data

Procedia Computer Science, 80, 2397–2401.

By: B. Ramachandra  n, K. Gadiraju  n, R. Vatsavai n , D. Kaiser* & T. Karnowski *

author keywords: spatio-temporal; co-location; anomaly detection; trend analysis
topics (OpenAlex): Climate variability and models; Meteorological Phenomena and Simulations; Hydrology and Drought Analysis
TL;DR: This paper presents their computationally efficient algorithms for anomalous cluster detection on climate change big data, and provides results on detection and tracking of surface temperature and geopotential height anomalies, a trend analysis, and a study of relationships between the variables. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: February 21, 2020

2016 article

Guest editorial: big spatial data

Vatsavai, R., & Chandola, V. (2016, September 10). GeoInformatica, Vol. 20, pp. 797–799.

By: R. Vatsavai n  & V. Chandola *

topics (OpenAlex): Human Mobility and Location-Based Analysis; Geographic Information Systems Studies
TL;DR: The purpose of this special issue is to showcase some of the recent developments and novel applications of the big spatial data field, which has attracted eleven papers covering broad range of spatial big data technologies and applications. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Mapping Magnetic Ordering With Aberrated Electron Probes in STEM

Microscopy and Microanalysis, 22(S3), 1676–1677.

By: J. Idrobo *, J. Rusz *, J. Spiegelberg *, M. McGuire *, C. Symons*, R. Vatsavai* , C. Cantoni *, A. Lupini *

topics (OpenAlex): Advanced Electron Microscopy Techniques and Applications; Electron and X-Ray Spectroscopy Techniques; Integrated Circuits and Semiconductor Failure Analysis
Sources: Crossref, NC State University Libraries
Added: February 21, 2020

2016 article

Monitoring Land-Cover Changes: A Machine-Learning Perspective

Karpatne, A., Jiang, Z., Vatsavai, R. R., Shekhar, S., & Kumar, V. (2016, June 1). IEEE Geoscience and Remote Sensing Magazine, Vol. 4, pp. 8–21.

By: A. Karpatne *, Z. Jiang *, R. Vatsavai n , S. Shekhar * & V. Kumar *

topics (OpenAlex): Remote-Sensing Image Classification; Land Use and Ecosystem Services; Remote Sensing in Agriculture
TL;DR: A brief overview of the challenges in monitoring land-cover changes from the perspective of machine learning and some of the recent advances in machine learning that are relevant for addressing them are discussed. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 article

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring

Chen, Z., Vatsavai, R. R., Ramachandra, B., Zhang, Q., Singh, N., & Sukumar, S. (2016, December 1). 2016 IEEE International Conference on Big Data (Big Data), pp. 1309–1314.

By: Z. Chen n, R. Vatsavai n , B. Ramachandra n, Q. Zhang n, N. Singh* & S. Sukumar *

topics (OpenAlex): Remote Sensing in Agriculture; Remote-Sensing Image Classification; Remote Sensing and Land Use
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2016 article

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

Kurte, K. R., Durbha, S. S., King, R. L., Younan, N. H., & Vatsavai, R. (2016, May 6). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, pp. 29–44.

By: K. Kurte *, S. Durbha *, R. King*, N. Younan * & R. Vatsavai n 

author keywords: Description logic (DL); direction relations; image retrieval; linked data; reasoning; region connection calculus (RCC-8); resource description framework (RDF); semantic web rules language (SWRL); SPARQL; spatial image information mining (SIIM); spatial relations; topological relations; Web ontology language (OWL)
topics (OpenAlex): Advanced Image and Video Retrieval Techniques; Image Retrieval and Classification Techniques; Geographic Information Systems Studies
TL;DR: A spatial IIM (SIIM) framework is proposed, which integrates a logic-based reasoning mechanism to extract the hidden spatial relationships (both topological and directional) and enables image retrieval based on spatial relationships. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Sliding Window-based Probabilistic Change Detection for Remote-sensed Images

Procedia Computer Science, 80, 2348–2352.

By: S. Hong n & R. Vatsavai n 

author keywords: Probabilistic Change Detection; Satellite Image Processing; Spatial Data Mining; Sliding Window; GMM
topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing in Agriculture; Geochemistry and Geologic Mapping
TL;DR: This study proposes a sliding window-based extension of the probabilistic change detection approach to overcome artificial limitations of grid (patch)-based change detection. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Crossref, NC State University Libraries
Added: February 21, 2020

2016 article

pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models

Shashidharan, A., Berkel, D. B., Vatsavai, R. R., & Meentemeyer, R. K. (2016, January 1). Lecture Notes in Computer Science, Vol. 9927, pp. 163–177.

By: A. Shashidharan n, D. Berkel n, R. Vatsavai n  & R. Meentemeyer n 

topics (OpenAlex): Land Use and Ecosystem Services; Cellular Automata and Applications; Urban Design and Spatial Analysis
TL;DR: This paper presents a generic framework for co-ordinating I/O and computation for geospatial simulations in a distributed computing environment and demonstrates the performance and scalability benefits of the parallel implementation pFUTURES, an extension of the FUTURES open-source multi-level urban growth model. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

A Scalable Complex Pattern Mining Framework for Global Settlement Mapping

Vatsavai, R. R. (2015, June 1). 2015 IEEE International Congress on Big Data - BigData Congress 2015, pp. 514–521.

By: R. Vatsavai n 

author keywords: Very High-resolution Images; Multiple Instance Learning; Settlement Mapping; Complex Object Based Image Analysis
topics (OpenAlex): Image Retrieval and Classification Techniques; Remote-Sensing Image Classification; Advanced Image and Video Retrieval Techniques
TL;DR: This paper extends the Gaussian Multiple Instance (GMIL) learning by simplifying the model assumptions and shows that this method is computationally more efficient while maintaining similar accuracy as the GMIL algorithm. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Multitemporal data mining: From biomass monitoring to nuclear proliferation detection

Vatsavai, R. R. (2015, July 1). 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

By: R. Vatsavai n 

topics (OpenAlex): Remote-Sensing Image Classification; Gaussian Processes and Bayesian Inference; Spectroscopy and Chemometric Analyses
TL;DR: This paper describes the state-of-the-art data mining approaches with applications in biomass and critical infrastructure monitoring and shows how these approaches can be used to monitor the Earth to identify and characterize changes in near-real time. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2012 journal article

Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery

Procedia Computer Science, 9, 907–916.

By: R. Vatsavai*  & J. Graesser *

author keywords: Change Detection; pdf; Gaussian Distribution; Clustering
topics (OpenAlex): Remote-Sensing Image Classification; Remote Sensing and Land Use; Remote Sensing in Agriculture
TL;DR: A probabilistic framework to identify changes in human settlements using very high-resolution satellite imagery that provides comprehensible information about change areas, and minimizes the post-detection thresholding procedure often needed in traditional change detection algorithms. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2011 journal article

A scalable gaussian process analysis algorithm for biomass monitoring

Statistical Analysis and Data Mining, 4(4), 430–445.

By: V. Chandola * & R. Vatsavai* 

topics (OpenAlex): Gaussian Processes and Bayesian Inference; Metabolomics and Mass Spectrometry Studies; Remote Sensing in Agriculture
TL;DR: A GP based online time series change detection algorithm is proposed and demonstrated in detecting different types of changes in Normalized Difference Vegetation Index data obtained from a study area in IA, USA and an efficient Toeplitz matrix based solution is proposed which significantly improves the computational complexity and memory requirements of the proposed GP based method. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2011 journal article

Data Mining in Earth System Science (DMESS 2011)

Procedia Computer Science, 4, 1450–1455.

By: F. Hoffman *, J. Larson*, R. Mills*, B. Brooks *, A. Ganguly *, W. Hargrove *, J. Huang *, J. Kumar *, R. Vatsavai* 

author keywords: Data mining; remote sensing; high performance computing; segmentation; change detection; synthesis; visualization
topics (OpenAlex): Geochemistry and Geologic Mapping; Scientific Computing and Data Management; Soil Geostatistics and Mapping
TL;DR: This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computer science methods that support analysis and discovery in theEarth sciences. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2011 journal article

GX-Means: A model-based divide and merge algorithm for geospatial image clustering

Procedia Computer Science, 4, 186–195.

By: R. Vatsavai* , C. Symons*, V. Chandola * & G. Jun *

author keywords: Clustering; EM; GMM; K-means; G-means; X-means
topics (OpenAlex): Data Management and Algorithms; Advanced Clustering Algorithms Research; Bayesian Methods and Mixture Models
TL;DR: A computationally effcient model-based split and merge clustering algorithm that incrementally finds model parameters and the number of clusters that avoids certain limitations of these well-known clustering algorithms that are pertinent when dealing with geospatial data. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2010 journal article

A hybrid classification scheme for mining multisource geospatial data

GeoInformatica, 15(1), 29–47.

By: R. Vatsavai*  & B. Bhaduri *

author keywords: MLC; EM; Semi-supervised learning
topics (OpenAlex): Remote-Sensing Image Classification; Face and Expression Recognition; Text and Document Classification Technologies
TL;DR: A hybrid semi-supervised learning algorithm is presented that effectively exploits freely available unlabeled training samples from multispectral remote sensing images and also incorporates ancillary geospatial databases and shows over 24% to 36% improvement in overall classification accuracy over conventional classification schemes. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: December 28, 2020

2009 chapter

Incremental Clustering Algorithm for Earth Science Data Mining

In G. Allen, J. Nabrzyski, E. Seidel, G. D. van Albada, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2009 (pp. 375–384).

By: R. Vatsavai* 

Ed(s): G. Allen, J. Nabrzyski, E. Seidel, G. van Albada, J. Dongarra & P. Sloot

topics (OpenAlex): Advanced Clustering Algorithms Research; Data Management and Algorithms; Data Mining Algorithms and Applications
TL;DR: This paper provides an extension of G-means algorithm which automatically learns the number of clusters present in the data and avoids over estimation of thenumber of clusters. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: December 28, 2020

2008 chapter

A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes

In Lecture Notes in Computer Science (pp. 967–976).

By: R. Vatsavai* , S. Shekhar * & B. Bhaduri *

topics (OpenAlex): Image Retrieval and Classification Techniques; Text and Document Classification Technologies; Bayesian Methods and Mixture Models
TL;DR: A novel learning scheme that automatically learns sub-classes from the user given aggregate classes using finite Gaussian mixture instead of classical assumption of unimodal Gaussian per class is presented. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2007 journal article

An efficient spatial semi-supervised learning algorithm

International Journal of Parallel, Emergent and Distributed Systems, 22(6), 427–437.

By: R. Vatsavai* , S. Shekhar * & T. Burk*

author keywords: Semi-supervised learning; MLC; MAP; EM; Random fields; image analysis; 62M40; 68U10
topics (OpenAlex): Remote-Sensing Image Classification; Face and Expression Recognition; Image Retrieval and Classification Techniques
TL;DR: This study shows that although, in general, classification accuracy improves with the addition of unlabeled training samples, it is not guaranteed to achieve consistently higher accuracies unless sufficient care is exercised when designing a semi-supervised classifier. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2006 chapter

Improving DB2 Performance Expert – A Generic Analysis Framework

In Lecture Notes in Computer Science (pp. 1097–1101).

By: L. Mignet*, J. Basak *, M. Bhide*, P. Roy*, S. Roy*, V. Sengar*, R. Vatsavai* , M. Reichert* ...

topics (OpenAlex): Advanced Database Systems and Queries; Software System Performance and Reliability; Cloud Computing and Resource Management
TL;DR: This paper describes a component which is capable of doing early performance problem detection by analyzing the sensor values over a long period of time and showcases a trends plotter and workload characterizer which allows a DBA to have a better understanding of the resource usages. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2006 chapter

UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System

In Geographic Information Science (pp. 400–417).

By: R. Vatsavai* , S. Shekhar *, T. Burk* & S. Lime*

topics (OpenAlex): Data Management and Algorithms; Geographic Information Systems Studies; Advanced Database Systems and Queries
TL;DR: This paper presents a load balancing client/server Web-based spatial analysis system, UMN-MapServer, and evaluates its performance in a regional natural resource mapping and analysis (NRAMS) application which utilizes biweekly AVHRR imagery and several other raster and vector geo-spatial datasets. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

2004 chapter

Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis

In Geographic Information Science (pp. 140–161).

By: B. Kazar*, S. Shekhar *, D. Lilja *, R. Vatsavai*  & R. Pace*

topics (OpenAlex): Spatial and Panel Data Analysis; Regional Economic and Spatial Analysis; Soil Geostatistics and Mapping
TL;DR: Two candidate approximate-semi-sparse solutions of the SAR model based on Taylor series expansion and Chebyshev polynomials are presented, showing that these new techniques scale well for very large data sets, such as remote sensing images having millions of pixels. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020

Employment

Updated: June 10th, 2024 15:33

2014 - present

North Carolina State University Raleigh, North Carolina, US
Professor Computer Science

Education

Updated: November 15th, 2019 12:49

1999 - 2008

University of Minnesota System Minneapolis, MN, US
Ph.D. Computer Science

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