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5 p, 1.6 MB Hybrid compression of hyperspectral images based on PCA with pre-encoding discriminant information / Lee, Chulhee (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Youn, Sungwook (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Jeong, Taeuk (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Lee, Eunjae (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
It has been shown that image compression based on principal component analysis (PCA) provides good compression efficiency for hyperspectral images. However, PCA might fail to capture all the discriminant information of hyperspectral images, since features that are important for classification tasks may not be high in signal energy. [...]
2015 - 10.1109/LGRS.2015.2409897
IEEE geoscience and remote sensing letters, Vol. 12 Núm. 7 (July 2015) , p. 1491-1495  

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