An unsupervised algorithm for the selection of endmembers in hyperspectral images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2002, Pages 1673-1675

  Acito, N ^a   Corsini, G ^a   Diani, M ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; ESTIMATION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; SPECTRUM ANALYSIS; VECTORS;

ENDMEMBER SELECTION; HYPERSPECTRAL IMAGES; LINEAR MIXING MODEL; UNSUPERVISED ALGORITHM;

REMOTE SENSING;

EID: 0036400481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. D. Manolakis, C. Siracusa, and G. Shaw, Hyperspectral Subpixel Target Detection Using the Linear Mixing Model, IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 7, July, 2001, pp. 1392-1409.
2. N. Keshava, J. Mustard, Spectral Unmixing, IEEE Signal Processing Magazine, Vol. 19, No. 1, January, 2002, pp. 44-57.
3. A. Ifarraguerri, C. Chang, Unsupervised Hyperspectral Image Analysis with Projection Pursuit, IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 6, November, 2000, pp. 2529-2538.