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
SiameseDenseU-Net-based Semantic Segmentation of Urban Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/1515630
Abstract: Boundary pixel blur and category imbalance are common problems that occur during semantic segmentation of urban remote sensing images. Inspired by DenseU-Net, this paper proposes a new end-to-end network—SiameseDenseU-Net. First, the network simultaneously uses both… read more here.
Keywords: sensing images; segmentation urban; remote sensing; siamesedenseu net ... See more keywords