Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints
Abstract Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite. It decomposes the hyperspectral data to ascertain the abundance corresponding to each endmember in the spectral library. Currently, the...
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| Main Author: | |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Nature Portfolio
2024-10-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-70395-6 |
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