MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images

MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images

Water bodies extraction is important in water resource utilization and flood prevention and mitigation. Remote sensing images contain rich information, but due to the complex spatial background features and noise interference, problems such as inaccurate tributary extraction and inaccurate segmentat...

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Bibliographic Details
Main Authors: Yonghong Zhang, Huanyu Lu, Guangyi Ma, Huajun Zhao, Donglin Xie, Sutong Geng, Wei Tian, Kenny Thiam Choy Lim Kam Sian
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
attention mechanism
convolutional neural network
MixFormer
remote sensing
semantic segmentation
Transformer
Online Access:https://www.mdpi.com/2072-4292/15/14/3559

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