"A Novel Deep Learning Framework for Water Body Segmentation from Satel" by Inas Jawad Kadhim and Prashan Premaratne
Deep learning techniques became crucial in analyzing satellite images for various remote sensing applications such as water body detection. Water body segmentation helps identify and analyze the statistics of various water bodies such as rivers, lakes, and reservoirs. Remote sensing-based real-time water body detection aids in providing a proper response during crises such as floods and course changes in rivers. However, the need for high-resolution multichannel satellite images is the main challenge in achieving a highly accurate water body segmentation. Most water body extraction methods des...
Source: uow.edu.au