An automatic remote sensing image shadow compensation method utilizing reflectance differences and transfer learning
Shadows inevitably exist in remote sensing images (RSIs) and are characterized by lower resolution, mixed-pixel, and diverse background information. These characteristics pose a great challenge to the automatic compensation of shadows in RSIs. To address these issues, this paper proposes a training...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2487334 |
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