Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing(2019)
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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