DocumentCode
3355516
Title
Enhanced visualization of hyperspectral images
Author
Mahmood, Zahid ; Scheunders, Paul
Author_Institution
IBBT-Vision Lab., Univ. of Antwerp, Antwerp, Belgium
fYear
2010
fDate
25-30 July 2010
Firstpage
991
Lastpage
994
Abstract
An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information. Both visualization and enhancement are combined into a multiresolution framework using wavelets. The HSI is transformed into a specific representation (Multiscale Fundamental Form representation), in which the enhancement is performed at the level of the wavelet detail subbands, while the visualization is performed at the level of the low resolution subbands. The results are compared to state of art hyperspectral visualization algorithms.
Keywords
data visualisation; geophysical image processing; gradient methods; image colour analysis; image matching; image resolution; wavelet transforms; color matching; human vision system; hyperspectral image; hyperspectral visualization algorithm; multiband gradient information; multiresolution framework; multiscale fundamental form representation; wavelets; Hyperspectral imaging; Image color analysis; Image resolution; Noise; Principal component analysis; Visualization; Wavelet transforms; Dimensionality Reduction; Hyperspectral; Visualization; Wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652813
Filename
5652813
Link To Document