Dimensionality reduction method based on spatial-spectral preservation and minimum noise fraction for hyperspectral images
Hyperspectral images contain rich spatial distribution and spectral information of land features, but they also introduce high information redundancy and computational complexity. This paper proposes dimensionality reduction methods that integrate spatial-spectral preservation and minimum noise frac...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | Journal of the European Optical Society-Rapid Publications |
| Subjects: | |
| Online Access: | https://jeos.edpsciences.org/articles/jeos/full_html/2025/02/jeos20250029/jeos20250029.html |
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