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 |
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