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

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

doi:10.1007/s12145-024-01306-6

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

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

Year: 2024 Journal: Earth Science Informatics Vol: 17 (3)Pages: 2555-2568 Publisher: Springer Science+Business Media

DOI: 10.1007/s12145-024-01306-6

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Keywords:

Computer science Remote sensing Artificial intelligence Overfitting Robustness (evolution) Feature extraction Precision and recall Pattern recognition (psychology) Water extraction Computer vision Artificial neural network Extraction (chemistry) Geology

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Topics

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

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