Reconstruction of High-Temporal- and High-Spatial-Resolution Reflectance Datasets Using Difference Construction and Bayesian Unmixing
High-temporal- and high-spatial-resolution reflectance datasets play a vital role in monitoring dynamic changes at the Earth’s land surface. So far, many sensors have been designed with a trade-off between swath width and pixel size; thus, it is difficult to obtain reflectance data with both high sp...
| Автори: | , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
MDPI AG
2020-12-01
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| Серія: | Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2072-4292/12/23/3952 |