Unsupervised endmember extraction: Application to hyperspectral images from Mars

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 2869-2872

  Luo, Bin ^a   Chanussot, Jocelyn ^a   Doute, Sylvain ^b  

^a GIPSA LAB   (France)

^b LPG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS; IMAGE PROCESSING; IMAGING SYSTEMS;

CHEMICAL SPECIES; CORRELATION MATRIX; EIGENVALUES; ENDMEMBERS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; LINEAR MIXTURES; PLANET MARS; SYNTHETIC DATA; UNSUPERVISED ENDMEMBER EXTRACTION; UNSUPERVISED METHOD; VERTEX COMPONENT ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 77951950231     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414584     Document Type: Conference Paper

References (5)

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2. C. I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geoscience and Remote Sensing, vol. 42, no. 3, pp. 608-619, March 2004.
3. J. M. P. Nascimento and J. M. B. Dias, "Does independent component analysis play a role in unmixing hyperspectral data?," IEEE Trans. Geoscience and Remote Sensing, vol. 43, no. 1, pp. 175-187, January 2005.
4. J. M. P. Nascimento and J. M. B. Dias, "Vertex component analysis: A fast algorithl to unmix hyperspectral data," IEEE Trans. Geoscience and Remote Sensing, vol. 43, no. 4, pp. 898-910, April 2005.
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