Gaussian Pyramid Based Multiscale Feature Fusion for Hyperspectral Image Classification.

Shutao Li,Qiaobo Hao,Xudong Kang,Jon Atli Benediktsson

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing（2018）

引用 58|浏览7

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摘要

In this paper, we propose a segmented principal component analysis (SPCA) and Gaussian pyramid decomposition based multiscale feature fusion method for the classification of hyperspectral images. First, considering the band-to-band cross correlations of objects, the SPCA method is utilized for the spectral dimension reduction of the hyperspectral image. Then, the dimension-reduced image is decompo...

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关键词

Hyperspectral imaging,Principal component analysis,Feature extraction,Dimensionality reduction,Covariance matrices

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