Component analysis-based unsupervised linear spectral mixture analysis for hyperspectral imagery

WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

Volumn , Issue , 2009, Pages

  Jiao, Xiaoli ^a   Du, Yingzi ^b   Chang, Chein I ^a,c  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b Indiana University Purdue University Indianapolis   (United States)

^c NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Component analysis (CA); Supervised linear spectral mixture analysis (SLSMA); Unsupervised linear spectral mixture analysis (ULSMA); Virtual dimensionality (VD); Virtual endmember (VE)

Indexed keywords

APRIORI; COMPONENT ANALYSIS; ENDMEMBERS; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL SENSORS; LINEAR SPECTRAL MIXTURE ANALYSIS; PRIOR KNOWLEDGE; SIGNAL SOURCE; TARGET SIGNATURES; VIRTUAL DIMENSIONALITY; VISUAL INSPECTION;

IMAGE SENSORS; REMOTE SENSING; SIGNAL PROCESSING; VISUAL COMMUNICATION;

MIXTURES;

EID: 72049087483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2009.5289108     Document Type: Conference Paper

References (8)

1. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic/Plenum Publishers, 2003.
2. C.-I Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 608-619, March 2004
3. J.A. Richards and X. Jia, Remote Sensing Digital Image Analysis, 2nd ed. Springer Verlag, 1999.
4. A. Hyvarinen, J. Karhunen and E. Oja, Independent Component Analysis, John Wiley amp; Sons, 2001.
5. J.W. Boardman, "Geometric mixture analysis of imaging spectrometry data," Int. Geosci. Rem. Sens. Symposium, vol. 4, pp. 2369-71, 1994.
6. T.M. Tu, C.-H. Chen and C.-I Chang, "A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection," IEEE Trans. on Geoscience and Remote Sensing, vol. 35, no. 1, pp. 127-139, January 1997.
7. C.-I Chang and D.C. Heinz, "Constrained Subpixel Target Detection for Remotely Sensed Imagery," IEEE Transactions on Geoscience and Remote Sensing, VOL. 38, No.3, May 2000; 1144-1159.
8. D.C. Heinze and C.-I Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 3, pp. 529-545, March 2001.