DEEP LEARNING APPLIED TO WATER SEGMENTATION
The use of deep learning (DL) with convolutional neural networks (CNN) to monitor surface water can be a valuable supplement to costly and labour-intense standard gauging stations. This paper presents the application of a recent CNN semantic segmentation method (SegNet) to automatically segment rive...
Main Authors: | T. S. Akiyama, J. Marcato Junior, W. N. Gonçalves, P. O. Bressan, A. Eltner, F. Binder, T. Singer |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1189/2020/isprs-archives-XLIII-B2-2020-1189-2020.pdf |
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