A Robust Image Fusion Method Based on Local Spectral and Spatial Correlation

Author

Huixian Wang ; Wanshou Jiang ; Chengqiang Lei ; Shanlan Qin ; Jiaolong Wang

Author_Institution

State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China

Volume

11

Issue

2

fYear

2014

fDate

Feb. 2014

Firstpage

454

Lastpage

458

Abstract

To solve the potential color distortion problem of synthetic-variable-ratio method, an improved fusion method based on local spectral and spatial correlation (SSC) is presented. The proposed method, which uses SSC characteristics and local optimization strategy to simulate a low-resolution panchromatic image, can effectively reduce the spectral distortion of the fused image. QuickBird and other satellite images are used to assess the quality of the method. Visual and quantitative analysis demonstrates that the proposed approach can significantly improve the fusion quality.

Keywords

geophysical image processing; geophysical techniques; image colour analysis; image fusion; remote sensing; spectral analysis; QuickBird; SSC characteristics; fusion quality; improved fusion method; local optimization strategy; local spectral and spatial correlation; low-resolution panchromatic image; potential color distortion problem; quantitative analysis; robust image fusion method; satellite image; spectral distortion reduction; synthetic-variable-ratio method; visual analysis; Image fusion; local adaptive process; spectral and spatial correlation (SSC); spectral distortion; synthetic variable ratio (SVR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2013.2265915

Filename

6553378