Title :
PC-based display strategy for spectral imagery
Author :
Tyo, J. Scott ; Olsen, Richard C.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
We present a new pseudocolor mapping strategy for use with spectral imagery based on a principal components analysis of spectral data. The mapping capitalizes on the similarities between human vision and hyperspectral data. The transformation results in final images where the color assigned to each pixel is solely determined by the position within the data cloud. Materials with similar spectral characteristics are presented in similar hues. This display strategy can be the first step in a supervised classification and clustering method.
Keywords :
colour displays; computer displays; image classification; image colour analysis; pattern clustering; principal component analysis; remote sensing; spectral analysis; PC based display; clustering method; data cloud; hues; human vision; hyperspectral data; principal components analysis; pseudocolor mapping; spectral characteristics; spectral imagery; supervised classification; Computer displays; Humans; Image color analysis; Information analysis; Layout; Machine vision; Photoreceptors; Physics computing; Pixel; Spectral analysis;
Conference_Titel :
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
Print_ISBN :
0-7803-8350-8
DOI :
10.1109/WARSD.2003.1295205
