Extraction of water bodies from high-resolution remote sensing imagery based on a deep semantic segmentation network

Dechao Sun; Guang Gao; Lijun Huang; Yunpeng Liu; Dongquan Liu

doi:10.1038/s41598-024-65430-5

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Extraction of water bodies from high-resolution remote sensing imagery based on a deep semantic segmentation network

Dechao Sun Guang Gao Lijun Huang Yunpeng Liu Dongquan Liu

Year: 2024 Journal: Scientific Reports Vol: 14 (1)Pages: 14604-14604 Publisher: Nature Portfolio

DOI: 10.1038/s41598-024-65430-5

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Keywords:

Computer science Deep learning Artificial intelligence Pyramid (geometry) Pooling Segmentation Remote sensing Hyperspectral imaging Feature extraction Pattern recognition (psychology) Computer vision Geography

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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

Extraction of water bodies from high-resolution remote sensing imagery based on a deep semantic segmentation network

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