Volume 10, Issue 1 (9-2013)                   JSDP 2013, 10(1): 78-69 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ghassemian H. Multispectral and Panchromatic image fusion using Spatial PCA. JSDP 2013; 10 (1) :78-69
URL: http://jsdp.rcisp.ac.ir/article-1-100-en.html
Abstract:   (16267 Views)
Obtaining of an image with high spectral and spatial resolution is the goal of image fusion. The PCA is a well-known pan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the spectral characteristics of the multispectral images. To avoid the weak points of the standard PCA technique, Spatial PCA transform has been proposed and the reasons of superiority of this method in maintaining of the spectral information are discussed in this paper. At the end of the paper, a new assessment is proposed and the advantage of this method relative to the conventional mutual information is argued. The proposed assessment and the other popular metrics such as: ERGAS, SAM, correlation coefficient UIQI, and mutual information are used to analyze the fusion result. These assessments show that the proposed method has the least color distortions and contains more spatial information.
Full-Text [PDF 3000 kb]   (3663 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2013/06/6 | Accepted: 2013/10/11 | Published: 2013/12/3 | ePublished: 2013/12/3

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2015 All Rights Reserved | Signal and Data Processing