LAUSR

SiameseDenseU-Net-based Semantic Segmentation of Urban Remote Sensing Images

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0 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