Cloud Removal from Satellite Imagery
Deep learning architectures for SAR-optical fusion to reconstruct cloud-free Sentinel-2 images
Bridging the gap between artificial intelligence and earth observation
With over 15 years in academia, I lead research at the intersection of deep learning and remote sensing. My work focuses on developing intelligent systems that can interpret satellite imagery, enabling applications from urban planning to environmental monitoring.
As Head of the CSE Department at NIT Puducherry, I'm committed to nurturing the next generation of researchers while advancing our understanding of spatial data through innovative AI techniques.
Rs. 44 Lakhs
Research Funding
German Patent
Spatial Data Mining
Springer Book
Data Mining & ML