SACNet: A Novel Self-Supervised Learning Method for Shadow Detection from High-Resolution Remote Sensing Images

Dehai Chen; Jian Kang; Lanying Wang; Yongtao Yu; Weixun Zhou; Haiyan Guan; Mannan Karim

doi:10.1007/s41651-025-00215-6

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SACNet: A Novel Self-Supervised Learning Method for Shadow Detection from High-Resolution Remote Sensing Images

Dehai Chen Jian Kang Lanying Wang Yongtao Yu Weixun Zhou Haiyan Guan Mannan Karim

Year: 2025 Journal: Journal of Geovisualization and Spatial Analysis Vol: 9 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s41651-025-00215-6

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Keywords:

Shadow (psychology) High resolution Computer science Remote sensing Artificial intelligence Computer vision Pattern recognition (psychology) Geography Psychology

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Remote Sensing in Agriculture

Physical Sciences → Environmental Science → Ecology

SACNet: A Novel Self-Supervised Learning Method for Shadow Detection from High-Resolution Remote Sensing Images

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