Surface water extraction from high-resolution remote sensing images based on an improved U-net network model-Reference-Cited by-同舟云学术

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Surface water extraction from high-resolution remote sensing images based on an improved U-net network model

Published:2024-04-08 Issue:3 Volume:17 Page:2555-2568
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Wang Guoqing,Chen Guoxu,Sui Bin,Quan Li’ao,Ni Er’rui,Zhang Jianxin

Funder

The National Natural Science Foundation of China

2023 Natural resources monitoring remote sensing new technical services and monitoring results analysis and report preparation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12145-024-01306-6.pdf

Reference41 articles.

1. An SH, Rui XP (2022) A high-Precision Water body extraction method based on Improved Lightweight U-Net. Remote Sens 14(17):4127. https://doi.org/10.3390/rs14174127

2. Bi HY, Wang SY, Zeng JY (2012) Comparison and analysis of several common water extraction methods based on TM images. Remote Sens Inform 27(5):77–82. https://doi.org/10.3969/j.issn.1000-3177.2012.05.014

3. Buchsteiner C, Baur PA, Glatzel S (2023) Spatial analysis of Intra-annual Reed Ecosystem Dynamics at Lake Neusiedl using RGB Drone Imagery and Deep Learning. Remote Sens 15(16):3961. https://doi.org/10.3390/rs15163961

4. Chen P, Zhang Q, Li Q (2015) Comparative analysis of several commonly used water extraction method based on FY3A/MERSI imagery. Arid Land Geogr 38(4):770–778

5. Heipke C, Mayer H, Wiedemann C (1997) Evaluation of automatic road extraction. Int Archives Photogrammetry Remote Sens 32(3):151–160

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