Fast spatial-spectral random forests for thick cloud removal of hyperspectral images
The long-term existence and extensive coverage of thick clouds have caused an amount of missing information in hyperspectral images (HSIs), hindering their applications greatly. Recently, with the continuous launch of new satellites, the increasing availability of HSIs provides more opportunities fo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222001170 |