Abstract
Pansharpening is a process to fuse a low spatial resolution multispectral image and a high spatial resolution panchromatic image to produce a high-resolution multispectral image. Quality assessment of pansharpened images is challenging due to without actual reference images. There are two main types of assessment methods: reduced resolution (RR) assessment based on Wald’s protocol, and full resolution (FR) assessment without reference. Currently, it is lack of large-scale benchmark databases for subjective and objective performance evaluation of different image pansharpening methods. In this paper, we construct a large-scale database named Pansharpened Remote Sensing Image Quality Database (PRSIQD) from both qualitative and quantitative perspectives, which contains 13,620 pansharpened images acquired from IKONOS, QuickBird, Gaofen-1, WorldView-2, WorldView-3 and WorldView-4 satellite sensors. In addition, we have comprehensively analyzed the advantages and disadvantages of the existing pansharpening quality assessment methods on different satellite sensors, thematic datasets and bands.
Published Version
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