DenseU-Net-Based Semantic Segmentation of Small Objects in Urban Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2917952
Abstract: Class imbalance is a serious problem that plagues the semantic segmentation task in urban remote sensing images. Since large object classes dominate the segmentation task, small object classes are usually suppressed, so the solutions based… read more here.
Keywords: remote sensing; urban remote; loss; denseu net ... See more keywords