Simplex projection methods for selection of endmembers in hyperspectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 5, Issue , 2004, Pages 3207-3210

  Bajorski, Peter ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

AVIRIS; Endmembers; Fully constrained model; Hyperspectral imagery; Linear mixing; MaxD; PPI; Subpixel target detection

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; GEOMETRY; IMAGE ANALYSIS; PROBLEM SOLVING; SET THEORY; SPECTRUM ANALYSIS;

AVIRIS; ENDMEMBERS; FULLY CONSTRAINED MODEL; HYPERSPECTRAL IMAGERY; LINEAR MIXING; MAXD; PPI; SUBPIXEL SUBPIXEL TARGET DETECTION;

IMAGING SYSTEMS;

EID: 15944427807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. P. Bajorski, J. Schott, and E. lentilucci. "Comparison of Basis-Vector Selection Methods for Target and Background Subspaces as Applied to Subpixel Target Detection" (to appear in Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Orlando, FL, April 2004).
2. A. R.Gillespie, Smith, M. O., Adams, J. B., Willis, S. C., Fischer, A. F., and Sabol, D. E., "Interpretation of residual images: spectral mixture analysis of AVIRIS images," Owens Valley, California. In Proc. 2nd Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop (R. Green, Ed.), Pasadena, CA, 4-5 June, 1990, JPL Publication 90-54, Jet Propulsion Laboratory, Pasadena, CA, pp. 243-270.
3. J. R. Schott, K. Lee, R. Raqueno, G. Hoffmann, and G. Healey. "A subpixel target detection technique based on the invariance approach." To be published, 2004.
4. J. W. Boardman, F. A. Kruse, and R. O. Green. Mapping target signatures via partial unntixing of AVIRIS data. In Fifth JPL Airborne Earth Science Workshop, volume 1 of JPL Publication 95-1, pp. 23-26, 1995.
5. D. C. Heinz and C-I Chang, "Fully Constrained Least Squares Linear Spectral Mixture Analysis Method for Material Quantification in Hyperspectral Imagery," IEEE Transactions On Geoscience And Remote Sensing, Vol. 39, No. 3, pp. 529-545, March 2001.
6. B.A. Turlach http://www.maths.uwa.edu.au/~berwin/software/quadprog.html
7. T. H. Painter, J. Dozier, D. A. Roberts, R E. Davis, R. O. Green (2003). "Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data." Remote Sensing of Environment, 85, pp. 64-77.