Supervised Band Selection Using Local Spatial Information for Hyperspectral Image.

IEEE Geoscience and Remote Sensing Letters(2016)

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摘要
In order to alleviate the subsequent computation burden and storage requirement, band selection has been widely adopted to reduce the dimensionality of hyperspectral images, and the current methods mainly consist of the supervised and the unsupervised. Although these supervised methods have better performance, those unsupervised methods dominate the band selection field. In this letter, based on t...
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关键词
Hyperspectral imaging,Algorithm design and analysis,Feature extraction,Support vector machines,Reliability,Estimation
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