A Combiner-Based Full Resolution Quality Assessment Index for Pansharpening

被引：15
|
作者：
Vivone, Gemine [1 ]
Addesso, Paolo [1 ]
Chanussot, Jocelyn [2 ]
机构：
[1] Univ Salerno, Dept Informat Engn Elect Engn & Appl Math, I-84084 Fisciano, Italy
[2] Univ Grenoble Alpes, CNRS, Grenoble INP, GIPSA Lab, F-38000 Grenoble, France
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2019年 / 16卷 / 03期
关键词：
Data fusion; pansharpening; quality assessment; remote sensing; IMAGE FUSION; SATELLITE; MS;
D O I：
10.1109/LGRS.2018.2876629
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Pansharpening refers to the problem of fusing a multispectral (MS) image and a panchromatic image in order to get an MS image at a finer spatial resolution than the one of the original MS image. Due to the lack of a reference image, the assessment of the quality of a pansharpened product is a challenging task. Typical solutions are related to the reduced resolution assessment by exploiting Wald's protocol or to indexes without reference. In this letter, an efficient approach based on the combination of the two above-mentioned solutions is proposed. The performance is assessed using real data acquired by sensors with very different features mounted on-hoard of the Pleiades, the WorldView-3, and the WorldView-4 satellite platforms.
引用
收藏
页码：437 / 441
页数：5
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