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