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A Robust Sparse Representation Model for Hyperspectral Image Classification †

Sparse representation has been extensively investigated for hyperspectral image (HSI) classification and led to substantial improvements in the performance over the traditional methods, such as support vector machine (SVM). However, the existing sparsity-based classification methods typically assume...

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Bibliografiska uppgifter
I publikationen:Sensors (Basel)
Huvudupphovsmän: Huang, Shaoguang, Zhang, Hongyan, Pižurica, Aleksandra
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2017
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5621471/
https://ncbi.nlm.nih.gov/pubmed/28895908
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17092087
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