MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images

MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images

Lake water body extraction from remote sensing images is a key technique for spatial geographic analysis. It plays an important role in the prevention of natural disasters, resource utilization, and water quality monitoring. Inspired by the recent years of research in computer vision on fully convol...

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Bibliographic Details
Main Authors: Zhaobin Wang, Xiong Gao, Yaonan Zhang, Guohui Zhao
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
deep learning
convolutional neural network
semantic segmentation
Tibetan plateau
lake water body extraction
residual learning module
Online Access:https://www.mdpi.com/2072-4292/12/24/4140

Internet

https://www.mdpi.com/2072-4292/12/24/4140

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