Water index and Swin Transformer Ensemble (WISTE) for water body extraction from multispectral remote sensing images
Automatic surface water body mapping using remote sensing technology is greatly meaningful for studying inland water dynamics at regional to global scales. Convolutional neural networks (CNN) have become an efficient semantic segmentation technique for the interpretation of remote sensing images. Ho...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | GIScience & Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/15481603.2023.2251704 |