Nearest Regularized Joint Sparse Representation for Hyperspectral Image Classification.
IEEE Geoscience and Remote Sensing Letters(2016)
摘要
By means of a sparse collaborative representation mechanism, sparse-representation-based classifiers show a superior performance in hyperspectral image (HSI) classification. Exploiting the similarity and distinctiveness of HSI neighboring pixels, we propose a new nearest regularized joint sparse representation (NRJSR) classification method in this letter. In the classification process of the centr...
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关键词
Training,Optimization,Adaptation models,Image reconstruction,Support vector machines,Sparse matrices
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