Universal pattern decomposition method based on hyper spectral satellite remote sensing data

Geomatics and Information Science of Wuhan University

Volumn 30, Issue 3, 2005, Pages 264-268

  Zhang, Lifu ^a   Zhang, Liangpei ^a   Muramatsu, Kanako ^b   Fujiwara, Noboru ^c  

^a WUHAN UNIVERSITY   (China)

^b NARA WOMEN'S UNIVERSITY   (Japan)

^c Nara Industrial University   (Japan)

Author keywords

Classification; Hyper spectral remote sensing; Spectral mixing

Indexed keywords

PATTERN RECOGNITION; SATELLITE DATA;

EID: 16644370777     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

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2. Fujiwara N, Muramatsu K, Awa S, et al. Pattern Expansion Method for Satellite Data Analysis. Journal of Remote Sensing Society of Japan, 1996, 17(3) : 17-37 (In Japanese)
3. Muramatsu K, Furumi S, Fujiwara N, et al. Pattern Decomposition Method in the Albedo Space for Landsat TM and MSS Data Analysis. International Journal of Remote Sensing, 1996, 21(1) : 99-119
4. Daigo M, Ono A, Fujiwara N, et al. Pattern Decomposition Method for Hyper-multi-spectral Data Analysis. International Journal of Remote Sensing, 2004, 25(6) : 1 153-1 166
5. Furumi S, Hayashi A, Murumatsu K, et al. Relation Between Vegetation Vigor and New Vegetation Index Based on Pattern Decomposition Method. Journal of Remote Sensing Society of Japan, 1998, 18(3) : 17-34
6. Hayashi A, Muramatsu K, Furumi S, et al. An Algorithm and a New Vegetation Index for ADEOS - II/GLI Data Analysis. Journal of Remote-Sensing Society of Japan, 1998, 18(2) :28-50