http://www.cnr.it/ontology/cnr/individuo/prodotto/ID292390

Full scale assessment of pansharpening methods and data products (Contributo in atti di convegno)

Type

Label

Full scale assessment of pansharpening methods and data products (Contributo in atti di convegno) (literal)

Anno

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

Alternative label

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carlà, Andrea Garzelli, Leonardo Santurri (2014)
Full scale assessment of pansharpening methods and data products
in SPIE Remote Sensing 2014: Image and Signal Processing for Remote Sensing XX, Amsterdam, Netherlands, 22-25 Sep. 2014
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carlà, Andrea Garzelli, Leonardo Santurri (literal)

Pagina inizio

Pagina fine

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

Proceedings of SPIE Remote Sensing 2014: Image and Signal Processing for Remote Sensing XX (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

\"Nello Carrara\" Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy Department of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy (literal)

Titolo

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

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. (literal)

Editore