Li et al., 2023 - Google Patents
Subspace multi-regularized non-negative matrix factorization for hyperspectral unmixingLi et al., 2023
- Document ID
- 14265529133556406055
- Author
- Li S
- Li W
- Cai L
- Li Y
- Publication year
- Publication venue
- Applied Intelligence
External Links
Snippet
Hyperspectral unmixing (HU) is an important task in hyperspectral image (HSI) processing, which estimates endmembers and their corresponding abundances. Generally, the unmixing process of HSI can be approximated by a linear mixing model. Since each type of …
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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