Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images.
IEEE Geoscience and Remote Sensing Letters(2016)
摘要
Dimensionality reduction (DR) is an important and helpful preprocessing step for hyperspectral image (HSI) classification. Recently, sparse graph embedding (SGE) has been widely used in the DR of HSIs. SGE explores the sparsity of the HSI data and can achieve good results. However, in most cases, locality is more important than sparsity when learning the features of the data. In this letter, we pr...
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关键词
Encoding,Hyperspectral imaging,Hyperspectral imaging,Robustness,Collaboration
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