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Thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis

Thermal infrared hyperspectral image processing has become an important research topic in remote sensing. One of the research topics in thermal infrared hyperspectral image classification is dimension reduction. In this paper, thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis is presented.

Advantages of the use of not only global pattern information, but also local pattern information are tested in thermal infrared hyperspectral image processing.