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dc.contributor.authorKEMPENEERS Pieteren_GB
dc.date.accessioned2014-07-31T00:05:00Z-
dc.date.available2014-07-30en_GB
dc.date.available2014-07-31T00:05:00Z-
dc.date.created2014-07-29en_GB
dc.date.issued2010en_GB
dc.date.submitted2010-09-24en_GB
dc.identifier.citationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING vol. 48 no. 6 p. 2569-2579en_GB
dc.identifier.issn0196-2892en_GB
dc.identifier.urihttp://hyperspectral.vgt.vito.be/publications/tgrs2010_chan.pdfen_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC60794-
dc.description.abstractGiven the hyperspectral-oriented waveband configuration of multiangular CHRIS/Proba imagery, the scope of its application could widen if the present 18-m resolution would be improved. The multiangular images of CHRIS could be used as input for superresolution (SR) image reconstruction. A critical procedure in SR is an accurate registration of the low-resolution images. Conventional methods based on affine transformation may not be effective given the local geometric distortion in high off-nadir angular images. This paper examines the use of a non-rigid transform to improve the result of a nonuniform interpolation and deconvolution SR method. A scale-invariant feature transform is used to collect control points (CPs). To ensure the quality of CPs, a rigorous screening procedure is designed: 1) an ambiguity test; 2) the m-estimator sample consensus method; and 3) an iterative method using statistical characteristics of the distribution of random errors. A thin-plate spline (TPS) nonrigid transform is then used for the registration. The proposed registration method is examined with a Delaunay triangulation-based nonuniform interpolation and reconstruction SR method. Our results show that the TPS nonrigid transform allows accurate registration of angular images. SR results obtained from simulated LR images are evaluated using three quantitative measures, namely, relative mean-square error, structural similarity, and edge stability. Compared to the SR methods that use an affine transform, our proposed method performs better with all three evaluation measures. With a higher level of spatial detail, SR-enhanced CHRIS images might be more effective than the original data in various applications.en_GB
dc.description.sponsorshipJRC.H.7-Climate Risk Managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.ispartofseriesJRC60794en_GB
dc.titleSuperresolution Enhancement of Hyperspectral CHRIS/Proba Images With a Thin-Plate Spline Nonrigid Transform Modelen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1109/TGRS.2009.2039797en_GB
JRC Directorate:Sustainable Resources

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