Spatial‐spectral feature extraction of hyperspectral images using tensor‐based collaborative graph analysis
Abstract Although the collaborative graph‐based discriminant analysis (CGDA) method has shown promising performance for the feature extraction of the hyperspectral image (HSI), both the intrinsic local subspace structures and spatial structural information are ignored in CGDA. To address these probl...
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| Format: | Article |
| Language: | English |
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Wiley
2021-07-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12109 |