Automatic construction of global cloud sample database based on Landsat imagery
Accurately identifying clouds in imagery is a key preprocessing step in satellite remote sensing applications. In order to address problems of cloud samples required for cloud detection, such as reliance on manual interpretation, high collection costs, and limited quantity, this paper proposed a uni...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-06-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2514180 |
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