Problem Statement Title
Automatic Change detection in Synthetic Aperture Radar satellite images
Description
Background: Synthetic Aperture Radar satellite images have the capability for night time imaging as well as imaging without being affected by clouds. Automatic change detection on such images have wider application for various use cases. Description: Change detection between two SAR (Synthetic Aperture Radar) satellite images are straight forward if they are co-registered as the difference or ratio of corresponding pixels of the two images itself will give the change map. But such change maps will invariably have many natural changes as well like water body extent, flood extent, snow cover and forest cover changes etc. Our interest is to detect only man made changes and avoid natural changes. The solution can make use of Sentinel 1 SAR Open source satellite images and Google Earth Engine platform to access them. These images are co-registered by default. The GRD (Ground Range D | A shadcn/ui and v0 generation - v0
