Water Body Detection Based on an Improved U-Net-Reference-Cited by-同舟云学术

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Water Body Detection Based on an Improved U-Net

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Xu Xinyu¹,Liu Huazhen²,Zhang Tao¹,Zhang Zenghui¹,Guo Weiwei³

Affiliation:

1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Sensing Science and Engineering,Shanghai,China,200240

2. Shanghai Jiao Tong University,Intelligent Photoelectric Sensing Institute, School of Sensing Science and Engineering,Shanghai,China,200240

3. Tongji University,Center of Digital Innovation,Shanghai,China,200092

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282863.pdf?arnumber=10282863

Reference14 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention,2015

2. Squeeze-and-Excitation Networks

3. MSResNet: Multiscale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery

4. Deep Rotation Equivariant Network

5. Autoaugment: Learning augmentation policies from data;cubuk,2018

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