DocumentCode :
3563692
Title :
Multispectral image fusion and merging using multiscale fundamental forms
Author :
Scheunders, P. ; De Backer, S.
Author_Institution :
Dept. of Phys., Univ. of Antwerp, Antwerpen, Belgium
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
902
Abstract :
In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experiments are performed on multispectral images. In these experiments, Landsat Thematic Mapper images are fused and merged with panchromatic images. The proposed techniques are compared to wavelet-based techniques described in the literature
Keywords :
geophysical signal processing; image representation; remote sensing; sensor fusion; wavelet transforms; Landsat Thematic Mapper images; gradient information; merging; multiresolution framework; multiscale fundamental forms; multispectral image fusion; multispectral image wavelet representation; panchromatic images; wavelet-based techniques; Eigenvalues and eigenfunctions; Energy resolution; Image fusion; Image resolution; Merging; Multispectral imaging; Remote sensing; Satellites; Spatial resolution; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.959192
Filename :
959192
Link To Document :
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