Generalized bilinear model based nonlinear unmixing using semi-nonnegative matrix factorization

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 1365-1368

  Yokoya, Naoto ^a   Chanussot, Jocelyn ^b   Iwasaki, Akira ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b GIPSA LAB   (France)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

generalized bilinear model; hyperspectral image; nonlinear unmixing; semi nonnegative matrix factorization

Indexed keywords

BILINEAR MODELS; COMPUTATIONAL COSTS; ENDMEMBER EXTRACTION; ENDMEMBERS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE PROCESSING; MATRIX FACTORIZATIONS; NON-LINEAR UNMIXING; OPTIMIZATION METHOD; SECOND ORDER SCATTERING; SPECTRAL MIXING; UNMIXING;

GEOLOGY; IMAGE PROCESSING; REMOTE SENSING;

SPECTROSCOPY;

EID: 84873113464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6351282     Document Type: Conference Paper

References (11)

1. D.A. Roberts, M.O. Smith, and J.B. Adams, "Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data," Remote Sens. Environ., vol. 44, pp. 117-126, 1993.
2. C. C. Borel and S. A. W. Gerstl, "Nonlinear spectral mixing models for vegetative and soil surfaces," Remote Sens. Environ., vol. 47, pp. 403-416, 1994.
3. L. Zhang, D. Li, Q. Tong, and L. Zheng, "Study of the spectral mixture model of soil and vegetation in PoYang Lake area, China," Int. J. Remote Sens., vol. 19, no. 11, pp. 2077-2084, 1998.
4. B. Somers, K. Cools, S. Delalieux, J. Stuckens, D. V. der Zande, W. W. Verstraeten, and P. Coppin, "Nonlinear hyperspectral mixture analysis for tree cover estimates in orchards," Remote Sens. Environ., vol. 113, no. 6, pp. 1183-1193, Jun. 2009.
5. W. Fan, B. Hu, J. Miller, and M. Li, "Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data," Int. J. Remote Sens., vol. 30, no. 11, pp. 2951-2962, Jun. 2009.
6. J. M. Nascimento and J. M. Bioucas-Dias, "Nonlinear mixture model for hyperspectral unmixing," in Proc. SPIE, 2009, vol. 7477, p. 74770I.
7. A. Halimi, Y. Altmann, N. Dobigeon, and J. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4153-4162, Nov. 2011.
8. A. Halimi, Y. Altmann, N. Dobigeon, and J. Tourneret, "Unmixing hyperspectral images using the generalized bilinear model," IEEE IGARSS, pp. 1886-1889, 2011.
9. C. Ding, T. Li, and M. I. Jordan, "Convex and seminonnegative matrix factorization," IEEE Trans. Patten Anal. Mach. Intell., vol. 32, no. 1, pp. 45-55, 2010.
10. D. C. Heinz and C.-I. Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001.
11. J. M. Nascimento and J. M. Bioucas-Dias, "Vertex component analysis: A fast algorithm to unmix hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005.