Effects of Wavelets Selection on Performances of Hyperspectral Image Fusion

Author

Wang, Qiang ; Shen, Yi

Author_Institution

Harbin Inst. of Technol.

fYear

2006

fDate

24-27 April 2006

Firstpage

812

Lastpage

815

Abstract

Wavelet transform (WT) based image fusion techniques have been widely studied and applied in hyperspectral data processing research. Generally, image decomposition, sub-image fusion, and image reconstruction are the main steps for a WT based image fusion. The performances of fusion methods are basically dependent on the fusion scheme and its related transform. In this paper, we mainly discuss the effects of wavelets on the image fusion process. The choice of wavelet bases for the wavelet transform approach is also discussed from a standpoint of fusion performances and computation cost

Keywords

image processing; sensor fusion; wavelet transforms; hyperspectral data processing; image decomposition; image fusion process; image reconstruction; wavelet transform; Data processing; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Image fusion; Image reconstruction; Performance evaluation; Signal resolution; Wavelet analysis; Wavelet transforms; Image Fusion; Performances Evaluation; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Conference_Location

Sorrento

ISSN

1091-5281

Print_ISBN

0-7803-9359-7

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2006.328207

Filename

4124443