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Proceedings Paper

Full scale assessment of pansharpening methods and data products
Author(s): B. Aiazzi; L. Alparone; S. Baronti; R. Carlà; A. Garzelli; L. Santurri
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Paper Abstract

Quality assessment of pansharpened images is traditionally carried out either at degraded spatial scale by checking the synthesis property ofWald’s protocol or at the full spatial scale by separately checking the spectral and spatial consistencies. The spatial distortion of the QNR protocol and the spectral distortion of Khan’s protocol may be combined into a unique quality index, referred to as hybrid QNR (HQNR), that is calculated at full scale. Alternatively, multiscale measurements of indices requiring a reference, like SAM, ERGAS and Q4, may be extrapolated to yield a quality measurement at the full scale of the fusion product, where a reference does not exist. Experiments on simulated Pl´eiades data, of which reference originals at full scale are available, highlight that quadratic polynomials having three-point support, i.e. fitting three measurements at as many progressively doubled scales, are adequate. Q4 is more suitable for extrapolation than ERGAS and SAM. The Q4 value predicted from multiscale measurements and the Q4 value measured at full scale thanks to the reference original, differ by very few percents for six different state-of-the-art methods that have been compared. HQNR is substantially comparable to the extrapolated Q4.

Paper Details

Date Published: 23 October 2014
PDF: 12 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 924402 (23 October 2014); doi: 10.1117/12.2067770
Show Author Affiliations
B. Aiazzi, Institute for Applied Physics "Nello Carrara" (Italy)
L. Alparone, Institute for Applied Physics "Nello Carrara" (Italy)
Univ. of Florence (Italy)
S. Baronti, Institute for Applied Physics "Nello Carrara" (Italy)
R. Carlà, Institute for Applied Physics "Nello Carrara" (Italy)
A. Garzelli, Institute for Applied Physics "Nello Carrara" (Italy)
Univ. of Siena (Italy)
L. Santurri, Institute for Applied Physics "Nello Carrara" (Italy)


Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

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