Works (7)
Updated: February 27th, 2024 05:01
2023 article
Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VII, Vol. 14175, pp. 37–53.
author keywords: Cloud imputation; Multi-sensor; Deep learning; Style transfer
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024
2023 article
Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery
PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023, pp. 151–160.
author keywords: Neural Networks; Imputation; Remote Sensing; Multi-sensor; Knowledge-guided ML
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)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 8, 2024
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.
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 Goal Categories
3. Good Health and Well-being
(Web of Science)
15. Life on Land
(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
2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 97–104.
author keywords: Remote sensing; Cloud imputation; Benchmark; Multi-resolution; Deep learning
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 Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023
2022 article
Toward Cleansing Backdoored Neural Networks in Federated Learning
2022 IEEE 42ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2022), pp. 820–830.
author keywords: federated learning; backdoor attack; federated model pruning; machine-learning security
TL;DR:
A new and effective method to mitigate backdoor attacks in federated learning after the training phase is proposed, which removes redundant neurons and "backdoor neurons", which trigger misbehavior upon recognizing backdoor patterns while keeping silent when the input data is clean.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 28, 2022
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.
author keywords: SpatioTemporal Asset Catalog (STAC); Spatiotemporal Indexing; Remote Sensing Data Discovery
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 Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 5, 2022
2021 article
Predictive models with end user preference
Zhao, Y., Yang, X., Bolnykh, C., Harenberg, S., Korchiev, N., Yerramsetty, S. R., … Samatova, N. F. (2021, August 26). STATISTICAL ANALYSIS AND DATA MINING, Vol. 8.
author keywords: child support; decision tree; predictive model; regularization; relative ranking; user preference
TL;DR:
A generic modeling method that respects end user preferences via a relative ranking system to express multi‐criteria preferences and a regularization term in the model's objective function to incorporate the ranked preferences is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
10. Reduced Inequalities
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 7, 2021
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