Rahul Pethe

Landslide Segmentation from Multispectral Remote Sensing Data Using U-Net with Multichannel Topographic Information

A deep learning-based semantic segmentation framework using the U-Net architecture for pixel-level landslide delineation from multispectral and topographical remote sensing data and establishes a foundation for further investigation of advanced Transformer- and attention-based architectures is presented.