Title :
Enhanced visualization of hyperspectral images
Author :
Mahmood, Zahid ; Scheunders, Paul
Author_Institution :
IBBT-Vision Lab., Univ. of Antwerp, Antwerp, Belgium
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652813