Selected Publications (Not in any chronological order)

Multi-Sensor Analysis

• Deep Learning for Multi-Sensor Earth Observation (Elsevier Book 2025)
• Self-supervised multisensor change detection (TGRS 2021)
• Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification (EURASIP Journal on Advances in Signal Processing 2023)
• Supervised Change Detection Using Pre-Change Optical-SAR and Post-Change SAR Data (JSTARS 2022)
• Fusing multi-modal data for supervised change detection (ISPRS Conf. 2021)
• Unsupervised multiple-change detection in VHR multisensor images via deep-learning based adaptation
• Mitigating Distribution Shift for Multi-Sensor Classification (IGARSS 2022)

Unsupervised Change Detection

• Unsupervised deep change vector analysis for multiple-change detection in VHR Image (TGRS 2019)
• Confidence Estimation in Unsupervised Deep Change Vector Analysis (TGRS 2024)
• Integrating Deep Change Vector Analysis and SAM for Class-Specific Change Detection (JSTARS 2025)
• Unsupervised deep joint segmentation of multi-temporal high resolution images (TGRS 2020)
• Patch-level unsupervised planetary change detection (GRSL 2022)
• Change detection in image time-series using unsupervised LSTM (GRSL 2020)

Supervised Change Detection

• Supervised Change Detection Using Pre-Change Optical-SAR and Post-Change SAR Data (JSTARS 2022)
• Filtering specialized change in a few-shot setting (JSTARS 2023)
• High Precision Mapping Of Building Changes Using Sentinel-2 (IGARSS 2023)
• Fusing multi-modal data for supervised change detection (ISPRS Conf. 2021)

Climate AI

• Understanding the role of weather data for earth surface forecasting using a convlstm-based model (CVPR Earthvision 2022)
• Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models (Unpublished, available in ArXiv)
• Exploring Geometric Deep Learning for Precipitation Nowcasting (IGARSS 2023)
• DualSeq: A Novel Ensemble Method for Predictive Analysis of Sea Surface Temperature Using Remote Sensing Data (Marine Geodesy, 2025)
• Evolution of urban areas and land surface temperature (CVMI 2024)

Vision Transformers and Foundation models

• Integrating Deep Change Vector Analysis and SAM for Class-Specific Change Detection (JSTARS 2025)
• Reiterative Domain Aware Multi-target Adaptation (GCPR 2022)
• Segment Using Just One Example (ICPR Workshop 2024)
• Target Presence Detection Using SAM and Just One Example (SILCON 2024)

Uncertainty Quantification

• Confidence Estimation in Unsupervised Deep Change Vector Analysis (TGRS 2024)
• An advanced Dirichlet Prior Network for out-of-distribution detection in remote sensing (TGRS 2022)
• Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification (EURASIP Journal on Advances in Signal Processing 2023)
• Trusting small training dataset for supervised change detection (IGARSS 2021)

Domain Adaptation

• Reiterative Domain Aware Multi-target Adaptation (GCPR 2022)
• Multitarget domain adaptation for remote sensing classification using graph neural network (GRSL 2022)
• Graph neural network based open-set domain adaptation (ISPRS Conf. 2022)
• Unsupervised domain adaptation without source domain training samples: a maximum margin clustering based approach (ICVGIP 2016)
• Task Arithmetic for Multi-Domain Visual Learning (NGISE 2025)

Urban Mapping

• Supervised Change Detection Using Pre-Change Optical-SAR and Post-Change SAR Data (JSTARS 2022)
• SemiSiROC: Semi-Supervised Change Detection With Optical Imagery and an Unsupervised Teacher Model (JSTARS 2023)
• High Precision Mapping Of Building Changes Using Sentinel-2 (IGARSS 2023)
• Building change detection in VHR SAR images via unsupervised deep transcoding (TGRS 2020)

Disaster Mapping and Prediction

• Automatic landslide inventory mapping approach based on change detection technique with very-high-resolution images (GRSL 2020)
• Destroyed-buildings detection from VHR SAR images using deep feature (SPIE Conf. 2018)
• Automatic Detection of Building Displacements through Unsupervised Learning from InSAR Data (JSTARS 2023)
• Change detection in image time-series using unsupervised LSTM (GRSL 2020)
• Spatial context awareness for unsupervised change detection in optical satellite images (TGRS 2021)

Hyperspectral Image Analysis

• Change detection in hyperdimensional images using untrained models (JSTARS 2021)
• Fusing multiple untrained networks for hyperspectral change detection (ISPRS Conf. 2022)
• Deep reinforcement learning for band selection in hyperspectral image classification (TGRS 2021)

Forestry

• Forest Disturbance Detection via Self-supervised and Transfer Learning with Sentinel-1&2 Image (JSTARS 2024)
• Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image (ICCV Workshop 2021)