Water Body Segmentation of SAR Images Based on Sar Image Reconstruction and An Improved UNet-Reference-Cited by-同舟云学术

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Water Body Segmentation of SAR Images Based on Sar Image Reconstruction and An Improved UNet

Published:2024 Issue: Volume: Page:1-1
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ye Famao¹,Zhang Rengao²^ORCID,Xu Xiaohua³,Wu Kunlin²,Zheng Pu³,Li Dajun²

Affiliation:

1. Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China

2. School of School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, China

3. Jiang xi Academy of Water Science and Engineering, Nanchang, China

Funder

he Natural Science Foundation of Jiangxi Province, China

The Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/4357975/10376412.pdf?arnumber=10376412

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. WaterDetectionNet: A New Deep Learning Method for Flood Mapping With SAR Image Convolutional Neural Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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