Unmixing hyperspectral data

Advances in Neural Information Processing Systems

Volumn , Issue , 2000, Pages 942-948

  Parra, Lucas ^a   Spence, Clay ^a   Sajda, Paul ^a   Ziehe, Andreas ^b   Müller, Klaus Robert ^b  

^a SARNOFF CORPORATION   (United States)

^b FRAUNHOFER FIRST   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; MIXTURES; SPECTROSCOPY;

CONSTRAINED INDEPENDENT COMPONENT ANALYSIS; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL DATA; LINEAR COMBINATIONS; MIXTURE COEFFICIENTS; REFLECTANCE CHARACTERISTICS; REFLECTANCE SPECTRUM; UNMIXING HYPERSPECTRAL DATA;

REFLECTION;

EID: 84898930340     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. J. Bayliss' J. A. Gualtieri' and R. Cromp. Analyzing hyperspeetral data with independent component analysis. In J. M. Selander' editor' Proc. SPIE Applied Image and Pattern Recognition Workshop' volume 9' P.O. Box 10' Bellingham WA 98227-0010'1997. SPIE.
2. J.W. Boardman and F.A. Kruse. Automated spectral analysis: a geologic example using AVIRIS data' north Grapevine Mountains' Nevada. In Tenth Thematic Conference on Geologic Remote Sensing' pages 407-418' Ann arbor' MI' 1994. Environmental Research Institute of Michigan.
3. S. Hay kin. Adaptive Filter Theory. Prentice Hall' 1991.
4. F. Maselli' ' M. Pieri' and C. Conese. Automatic identification of end-members for the spectral decomposition of remotely sensed scenes. Remote Sensing for Geography' Geology' Land Planning' and Cultural Heritage (SPIE)' 2960:104-109' 1996.
5. B. Pearlmutter and L. Parra. Maximum likelihood blind source separation: A context-sensitive generalization of ICA. In M. Mozer' M. Jordan' and T. Petsche' editors' Advances in Neural Information Processing Systems 9' pages 613-619' Cambridge MA' 1997. MIT Press.
6. J.J. Settle. Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing' 14:1159-1177'1993.
7. M.O. Smith' J.B. Adams' and A.R. Gillespie. Reference endmembers for spectral mixture analysis. In Fifth Australian remote sensing conference' volume 1' pages 331-340' 1990.
8. U.S. Geological Survey. USGS digital spectral library. Open File Report 93-592' 1993.
9. H. Szu and C. Hsu. Landsat spectral demixing a la superresolution of blind matrix inversion by constraint MaxEnt neural nets. In Wavelet Applications IV' volume 3078' pages 147-160. SPIE' 1997.