DocumentCode :
2886405
Title :
Hyperspectral imagery visualization using band selection
Author :
Hongjun Su ; Qian Du ; Peijun Du
Author_Institution :
Sch. of Earth Sci. & Eng., Hohai Univ., Nanjing, China
fYear :
2012
fDate :
4-7 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper investigates hyperspectral image display based on selection of three spectral channels to build a red-green-blue (RGB) composite. A series of band selection algorithms are implemented and compared for this purpose. In particular, three color composition schemes based on visualization-oriented spectral segmentations are proposed. The resulting color displays are evaluated in terms of class separability using a statistical classifier and perceptual color distance. Results demonstrate that three-band selection is a simple and effective technique for hyprespectral image visualization.
Keywords :
data visualisation; geophysical image processing; hyperspectral imaging; image classification; image colour analysis; image segmentation; statistical analysis; RGB composite; band selection; class separability; color composition schemes; color displays; hyperspectral image display; hyperspectral imagery visualization; perceptual color distance; red-green-blue composite; spectral channels; statistical classifier; visualization-oriented spectral segmentations; Abstracts; Classification algorithms; Hyperspectral imaging; Image color analysis; Indexes; Testing; Visualization; Visualization; band selection; color scheme; hyperspectral imaging; spectral segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
Type :
conf
DOI :
10.1109/WHISPERS.2012.6874236
Filename :
6874236
Link To Document :
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