Joint Quality Measure for Evaluation of Pansharpening Accuracy

Remote Sensing

Gintautas Palubinskas¹  Giles Foody¹  Josef Kellndorfer¹ 

[1] Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany; E-Mail

关键词: image fusion;    multi-resolution;    low pass filtering;    quality assessment;    similarity measure;   

DOI  :  10.3390/rs70709292

来源: mdpi

【 摘 要 】

A new Joint Quality Measure (JQM), which is a sole measure, is proposed for quality ranking of pansharpening methods. It is based on a newly proposed Composite similarity measure, which consists of Means, Standard deviations and Correlation coefficient (CMSC), and is translation invariant with respect to means and standard deviations. The JQM itself consists of a weighted sum of two terms. The first term is measured between a low pass filtered pansharpened image and original multispectral image at a reduced/low resolution scale. The second term is measured between the intensity calculated from spectrally weighted pansharpened multispectral image and original panchromatic image in a high resolution scale. Experimental results show advantages of a new measure, JQM, for quality assessment of pansharpening methods on the one hand, and drawbacks or unexpected properties of the already known measure, Quality with No Reference (QNR), on the other hand.

【 授权许可】

CC BY   
© 2015 by the author; licensee MDPI, Basel, Switzerland.