Investigation into Bayesian inversion techniques for estimating mineral particle size distribution and abundance utilizing hyperspectral data
Hyperspectral data serve as an important tool for interpreting mineral information. However, the issue of spectral variability poses challenges to its inversion. The physically based Hapke model takes into account the influences of factors such as observation geometry and grain size. Nevertheless, e...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2543499 |
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