Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification.

IEEE Transactions on Geoscience and Remote Sensing(2019)

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摘要
Hyperspectral image (HSI) classification, which aims to assign an accurate label for hyperspectral pixels, has drawn great interest in recent years. Although low-rank representation (LRR) has been used to classify HSI, its ability to segment each class from the whole HSI data has not been exploited fully yet. LRR has a good capacity to capture the underlying low-dimensional subspaces embedded in o...
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关键词
Hyperspectral imaging,Dictionaries,Kernel,Machine learning,Support vector machines,Task analysis
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