Research on a Multi-Sources Remote Sensing Fusion Method Based on Least Square Model Combined with Color Space Transform

Author

Jiang Yongyao ; Song Jingwei ; Lu Hao

Author_Institution

Sch. of Remote Sensing Inf. & Eng., Wuhan Univ., Wuhan, China

fYear

2011

fDate

9-11 Aug. 2011

Firstpage

1

Lastpage

8

Abstract

Based on the linear correlation between the high resolution image and the multi-spectral image, the author raised a new fusion method in which the least square model is combined with the traditional color space transform fusion method. The result is evaluated by the correlation coefficient, the deviation index and information entropy of the fusion image. Compared with the original images, the results show that this method remarkably increases the spatial resolution as well as reserves the multi-spectral information to a large extend.

Keywords

correlation methods; entropy; image colour analysis; image fusion; least mean squares methods; remote sensing; transforms; correlation coefficient; deviation index; fusion image; high resolution image; information entropy; least square model; linear correlation; multisources remote sensing fusion method; multispectral image; multispectral information; spatial resolution; traditional color space transform fusion method; Correlation; Entropy; Image color analysis; Image fusion; Indexes; Spatial resolution; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Data Fusion (ISIDF), 2011 International Symposium on

Conference_Location

Tengchong, Yunnan

Print_ISBN

978-1-4577-0967-8

Type

conf

DOI

10.1109/ISIDF.2011.6024223

Filename

6024223