A new fusion method of remote sensing images based on wavelet transform

Author

Shasha Wu ; Baojun Zhao ; Mingming Bian

Author_Institution

Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China

Volume

2

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

829

Lastpage

832

Abstract

This paper proposes a novel wavelet-based image fusion method that combines the selection and weighted average fusion rules for interpreting remote sensing images. When the local variance of source images is various greatly, the fusion coefficient of images is obtained by the selection rule, otherwise it will be acquired by the weighted average rule. The new fusion rule both preserves the source images´ detail and improves the algorithm stability. Experiment results demonstrate that the new fusion rule is effective.

Keywords

geophysical image processing; geophysical techniques; image fusion; remote sensing; wavelet transforms; algorithm stability improvement; image fusion coefficient; remote sensing image interpretation; remote sensing images; selection average fusion rule; selection rule; source image detail; source image local variance; wavelet transform; wavelet-based image fusion method; weighted average fusion rule; Image fusion; Image fusion rules; Remote sensing images; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6491709

Filename

6491709