Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection

Automated water body detection from satellite imagery is a fundamental stage for urban hydrological studies. In recent years, various deep convolutional neural network (DCNN)-based methods have been proposed to segment remote sensing data collected by conventional RGB or multispectral imagery for su...

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Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.7422-7434
Hauptverfasser: Yuan, Kunhao, Zhuang, Xu, Schaefer, Gerald, Feng, Jianxin, Guan, Lin, Fang, Hui
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Sprache:eng
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