Ranga Raju Vatsavai

Also known as: Raju

https://orcid.org/0000-0002-7083-0267

Machine Learning, Data Mining, Spatial and Temporal, Remote Sensing, Image and Video Understanding, Computer Vision, Crop Biomass Monitoring, Settlement Mapping, HPC, Spatial Databases

Works (36)

Updated: April 11th, 2023 10:13

2022 journal article

A Survey of Single-Scene Video Anomaly Detection

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(5), 2293–2312.

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

author keywords: Anomaly detection; Computational modeling; Cameras; Training; Buildings; Legged locomotion; Feeds; Video anomaly detection; abnormal event detection; surveillance
Sources: Web Of Science, ORCID
Added: May 23, 2022

2022 article

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

2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 643–649.

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

Sources: Web Of Science, ORCID
Added: February 20, 2023

2021 article

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

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 3780–3783.

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

author keywords: SpatioTemporal Asset Catalog (STAC); Spatiotemporal Indexing; Remote Sensing Data Discovery
Sources: Web Of Science, ORCID
Added: July 5, 2022

2021 article

Local Clustering with Mean Teacher for Semi-supervised learning

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.

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

Sources: Web Of Science, ORCID
Added: August 30, 2021

2021 journal article

Perceptual metric learning for video anomaly detection

MACHINE VISION AND APPLICATIONS, 32(3).

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

author keywords: Video anomaly detection; Metric learning; Video surveillance; Siamese neural networks
Sources: Web Of Science, ORCID
Added: April 5, 2021

2019 journal article

Anomalous cluster detection in spatiotemporal meteorological fields

STATISTICAL ANALYSIS AND DATA MINING, 12(2), 88–100.

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

author keywords: anomaly detection; clustering; spatiotemporal data mining
Sources: Web Of Science, ORCID
Added: April 9, 2019

2018 article

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery

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

author keywords: Deformable part models (DPMs); complex geospatial objects
Sources: Web Of Science, ORCID
Added: July 1, 2019

2018 article

FUTURES-DPE: Towards Dynamic Provisioning and Execution of Geosimulations in HPC environments

26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018), pp. 464–467.

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

author keywords: Geosimulation; Distributed Computing; Computational Steering
Sources: Web Of Science, ORCID
Added: December 2, 2019

2018 article

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

2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), pp. 1397–1404.

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

author keywords: remote-sensing; image-classification; informal-settlements
Sources: Web Of Science, ORCID
Added: June 17, 2019

2018 journal article

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

JOURNAL OF INFRASTRUCTURE SYSTEMS, 24(3).

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

Sources: Web Of Science, ORCID
Added: October 19, 2018

2017 conference paper

Hierarchical change detection framework for biomass monitoring

2017 ieee international geoscience and remote sensing symposium (igarss), 620–623.

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

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

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

REMOTE SENSING OF ENVIRONMENT, 202, 28–44.

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

author keywords: High performance computing (HPC); Graphics processing unit (GPU); Oil spill; Morphological attribute profiles
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 article

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

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
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

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

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 10(1), 29–44.

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

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)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 conference paper

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

2017 ieee international geoscience and remote sensing symposium (igarss), 1063–1066.

By: C. Connors n & R. Vatsavai

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2016 article

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

2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, pp. 275–282.

By: S. Hong & R. Vatsavai

author keywords: Probabilistic Change Detection; Satellite Image Processing; Spatial Data Mining; OpenMP
Sources: Web Of Science, ORCID
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, D. Kaiser* & T. Karnowski*

author keywords: spatio-temporal; co-location; anomaly detection; trend analysis
Sources: Crossref, ORCID
Added: February 21, 2020

2016 article

Guest editorial: big spatial data

Vatsavai, R., & Chandola, V. (2016, October). GEOINFORMATICA, Vol. 20, pp. 797–799.

By: R. Vatsavai n & V. Chandola*

Sources: Web Of Science, ORCID
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

Sources: Crossref, ORCID
Added: February 21, 2020

2016 journal article

Monitoring Land-Cover Changes A machine-learning perspective

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 4(2), 8–21.

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

Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 conference paper

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring

2016 IEEE International Conference on Big Data (Big Data), 1309–1314.

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

Sources: NC State University Libraries, ORCID
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

author keywords: Probabilistic Change Detection; Satellite Image Processing; Spatial Data Mining; Sliding Window; GMM
Sources: Crossref, ORCID
Added: February 21, 2020

2016 article

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

GEOGRAPHIC INFORMATION SCIENCE, (GISCIENCE 2016), Vol. 9927, pp. 163–177.

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

Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 article

A Scalable Complex Pattern Mining Framework for Global Settlement Mapping

2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015, pp. 514–521.

By: R. Vatsavai

author keywords: Very High-resolution Images; Multiple Instance Learning; Settlement Mapping; Complex Object Based Image Analysis
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 conference paper

Multitemporal data mining: From biomass monitoring to nuclear proliferation detection

2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

By: R. Vatsavai

Sources: NC State University Libraries, ORCID
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
Sources: Crossref, ORCID
Added: September 10, 2020

2011 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
Sources: Crossref, ORCID
Added: December 28, 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

Sources: Crossref, ORCID
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
Sources: Crossref, ORCID
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
Sources: Crossref, ORCID
Added: September 10, 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

Sources: Crossref, ORCID
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*

Sources: Crossref, ORCID
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
Sources: Crossref, ORCID
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* ...

Sources: Crossref, ORCID
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*

Sources: Crossref, ORCID
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*

Sources: Crossref, ORCID
Added: September 10, 2020

Employment

Updated: November 15th, 2019 12:47

2014 - present

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

Education

Updated: November 15th, 2019 12:49

1999 - 2008

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