Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain

Show simple item record Duran, Joan Buades, Antoni 2024-02-07T07:49:18Z
dc.description.abstract Pansharpening techniques aim at fusing a low-spatial resolution multispectral (MS) image with a higher spatial resolution panchromatic (PAN) image to produce an MS image at high spatial resolution. Despite significant progress in the field, spectral and spatial distortions might still compromise the quality of the results. We introduce a restoration strategy to mitigate artifacts of fused products. After applying the principal component analysis transform to a pansharpened image, the chromatic components are filtered conditionally to the geometry of PAN. The structural component is then replaced by the locally histogram-matched PAN for spatial enhancement. Experimental results illustrate the efficiency of the proposed restoration chain.
dc.format application/pdf
dc.relation.isformatof Versió postprint del document publicat a:
dc.relation.ispartof Ieee Geoscience And Remote Sensing Letters, 2018, vol. 16, num. 3, p. 442-446
dc.subject.classification 51 - Matemàtiques
dc.subject.classification 004 - Informàtica
dc.subject.other 51 - Mathematics
dc.subject.other 004 - Computer Science and Technology. Computing. Data processing
dc.title Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/acceptedVersion 2024-02-07T07:49:18Z info:eu-repo/date/embargoEnd/2100-01-01
dc.embargo 2100-01-01
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess

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