Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient

Dan Ma; Jun Liu; Kai Chen; Huali Li; Ping Liu; Huijuan Chen; Jing Qian

doi:10.1117/1.JRS.10.026005

12 April 2016 Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient

Dan Ma, Jun Liu, Kai Chen, Huali Li, Ping Liu, Huijuan Chen, Jing Qian

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 026005 (April 2016). https://doi.org/10.1117/1.JRS.10.026005

Abstract

In remote sensing fusion, the spatial details of a panchromatic (PAN) image and the spectrum information of multispectral (MS) images will be transferred into fused images according to the characteristics of the human visual system. Thus, a remote sensing image fusion quality assessment called feature-based fourth-order correlation coefficient (FFOCC) is proposed. FFOCC is based on the feature-based coefficient concept. Spatial features related to spatial details of the PAN image and spectral features related to the spectrum information of MS images are first extracted from the fused image. Then, the fourth-order correlation coefficient between the spatial and spectral features is calculated and treated as the assessment result. FFOCC was then compared with existing widely used indices, such as Erreur Relative Globale Adimensionnelle de Synthese, and quality assessed with no reference. Results of the fusion and distortion experiments indicate that the FFOCC is consistent with subjective evaluation. FFOCC significantly outperforms the other indices in evaluating fusion images that are produced by different fusion methods and that are distorted in spatial and spectral features by blurring, adding noise, and changing intensity. All the findings indicate that the proposed method is an objective and effective quality assessment for remote sensing image fusion.

Citation Download Citation

Dan Ma, Jun Liu, Kai Chen, Huali Li, Ping Liu, Huijuan Chen, and Jing Qian "Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient," Journal of Applied Remote Sensing 10(2), 026005 (12 April 2016). https://doi.org/10.1117/1.JRS.10.026005

Published: 12 April 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available