Color representation and classification for hyperspectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 541-544

  Du, Qian ^a   Raksuntorn, Nareenart ^a   Cai, Shangshu ^a   Younan, Nicholas H ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Hyperspectral image visualization; Interference and noise adjusted principal components analysis (INAPCA); Noise adjusted principal components analysis (NAPCA); Principal components analysis (PCA)

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; INFORMATION USE; PRINCIPAL COMPONENT ANALYSIS;

HYPERSPECTRAL IMAGE VISUALIZATION; NOISE-ADJUSTED PRINCIPAL COMPONENTS ANALYSIS (NAPCA);

IMAGE CLASSIFICATION;

EID: 34948812413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.142     Document Type: Conference Paper

References (5)

1. N. P. Jacobson, and M. R. Gupta, "Design goals and solutions for display of hyperspectral images", IEEE Trans. Geoscience Remote Sensing, vol. 43, no. 11, pp. 2684-2693, Nov. 2005
2. J. S. Tyo, A. Konsolakis, D. I. Diersen, and R. C. Olsen, "Principal-components-based display strategy for spectral imagery", IEEE Trans. Geo. Remote sensing, vol. 41, No 3, pp. 708-718, 2003.
3. A. A. Green, M. Berman, P. Switzer and M.D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. on Geoscience and Remote Sensing, vol. 26, no. 1, pp. 65-74, Jan. 1988.
4. C.-I Chang and Q. Du, "Interference and noise adjusted principal components analysis," IEEE Trans. Geoscience Remote Sensing, vol. 37, pp. 2387-2396, Sep. 1999.
5. R. E. Roger, and J. F. Arnold, "Reliably estimating the noise in AVIRIS hyperspectral imagers," Int. J. Remote Sensing, vol. 17, no. 10, 1951-1962, Oct. 1996.