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Peng et al., 2018 - Google Patents

Self-paced joint sparse representation for the classification of hyperspectral images

Peng et al., 2018

Document ID
8560468334654647971
Author
Peng J
Sun W
Du Q
Publication year
Publication venue
IEEE Transactions on Geoscience and Remote Sensing

External Links

Snippet

In this paper, a self-paced joint sparse representation (SPJSR) model is proposed for the classification of hyperspectral images (HSIs). It replaces the least-squares (LS) loss in the standard joint sparse representation (JSR) model with a weighted LS loss and adopts a self …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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