MSAFNet: Multiscale Successive Attention Fusion Network for Water Body Extraction of Remote Sensing Images

MSAFNet: Multiscale Successive Attention Fusion Network for Water Body Extraction of Remote Sensing Images

Water body extraction is a typical task in the semantic segmentation of remote sensing images (RSIs). Deep convolutional neural networks (DCNNs) outperform traditional methods in mining visual features; however, due to the inherent convolutional mechanism of the network, spatial details and abstract...

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Bibliographic Details
Main Authors: Xin Lyu, Wenxuan Jiang, Xin Li, Yiwei Fang, Zhennan Xu, Xinyuan Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
water body extraction
remote sensing images
convolutional neural network
attention mechanism
successive attention fusion module
Online Access:https://www.mdpi.com/2072-4292/15/12/3121

Internet

https://www.mdpi.com/2072-4292/15/12/3121

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