Water Bodies Detection and Classification from VHRS Images

The detection of water bodies from satellite imagery has many applications, paving the way for a variety of innovative research that contributes to the efficient use of natural resources in sustainable development. The extraction of water mass data from the range of satellite images such as pixels, MODIS images, SAR images and LANDSAT TM images has been explored by several researchers during the past decade using statistical algorithms., methodological and rule-based. Nevertheless, extracting and detecting water body data from high-resolution satellite images is still a persisting problem because of artificial features, the shadow effect of buildings, fake features Water body detection in high-resolution satellite images is a challenging task due to the changing interference caused by multiple imaging conditions and complex land backgrounds. The prominent aim of this work is to identify water bodies and classify the various water bodies such as lakes, ponds, rivers etc from VHRS using deep learning algorithms.