Hyperspectral Endmember Detection and Unmixing Based on Linear Programming

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2003, Pages 1763-1766

  Han, Tian ^a   Goodenough, David G ^a,b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

Abundance fractions; Constraints; Endmember; Linear programming; Linear spectral unmixing; Objective function

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONSTRAINT THEORY; IMAGE ANALYSIS; LINEAR PROGRAMMING; SPECTRUM ANALYSIS;

CONSTRAINT ENERGY MINIMIZATION (CEM); IMAGE PIXELS; LINEAR SPECTRAL UNMIXING;

REMOTE SENSING;

EID: 0242657895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. A. Antonious and W.-L. Lu, Optimization Methods, Algorithms, and Applications: Kluwer Academic, 2003.
2. C.-I. Chang, "Target Signature-Constrained Mixed Pixel Classification for Hyperspectral Imagery," IEEE Transaction on Geoscience and Remote Sensing, vol. 40, 2002.
3. D. G. Goodenough, A. S. Bhogal, A. Dyk, O. Niemann, T. Han, H. Chen, C. West, and C. Schmidt, "Calibration of Forest Chemistry for Hyperspectral Analysis," Proc. IGARSS 2001, vol. 1, pp. 52-56, 2001.
4. T. Han, D. G. Goodenough, A. Dyk, and J. Love, "Detection And Correction of Abnormal Pixels in Hyperion Images," Proceedings of IGARSS 2002, vol. 3, pp. 1327-1330, 2002.
5. D. Heinz, C.-I. Chang, and A. M, "Fully Constrained Least-Squares Based Linear Unmixng," Proceedings of IGARSS 1999, vol. 2, pp. 1401-1403, 1999.
6. R. Hsuan and C. C-I., "A Generalized Orthogonal Subspace Projection Approach to Unsupervised Multispectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 38, pp. 2515-2528, 2000.
7. D. Landgrebe, "Hyperspectral Image Data Analysis," IEEE Signal Processing Magazine, vol. 19, pp. 17-28, 2002.
8. D. S. WatKins, Fundanmentals of Matrix Computations, Second ed. New York: A John Wiley & Sons, Inc., 2002.