DEDANet: Automatic cloud and shadow segmentation from satellite images based on double encoder–decoder attention network

Surya Surendran Remakumari; Abdul Rahiman Malangai

doi:10.1117/1.jrs.19.034508

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JOURNAL ARTICLE

DEDANet: Automatic cloud and shadow segmentation from satellite images based on double encoder–decoder attention network

Surya Surendran Remakumari Abdul Rahiman Malangai

Year: 2025 Journal: Journal of Applied Remote Sensing Vol: 19 (03) Publisher: SPIE

DOI: 10.1117/1.jrs.19.034508

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Keywords:

Computer science Shadow (psychology) Artificial intelligence Computer vision Segmentation Satellite Encoder Image segmentation Remote sensing Cloud computing Computer graphics (images) Geology Physics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

DEDANet: Automatic cloud and shadow segmentation from satellite images based on double encoder–decoder attention network

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