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

fYear

2003

fDate

27-28 Oct. 2003

Firstpage

276

Lastpage

281

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on

Print_ISBN

0-7803-8350-8

Type

conf

DOI

10.1109/WARSD.2003.1295205

Filename

1295205