Fusion of multispectral and panchromatic satellite images using the curvelet transform

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dc.contributor.authorChoi, Mko
dc.contributor.authorKim, RYko
dc.contributor.authorNam, MRko
dc.contributor.authorKim, Hong Ohko
dc.date.accessioned2013-03-06T17:04:21Z-
dc.date.available2013-03-06T17:04:21Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2005-04-
dc.identifier.citationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.2, no.2, pp.136 - 140-
dc.identifier.issn1545-598X-
dc.identifier.urihttp://hdl.handle.net/10203/87708-
dc.description.abstractA useful technique in various applications of remote sensing involves the fusion of different types of satellite images, namely multispectral (MS) satellite images with a high spectral and low spatial resolution and panchromatic (Pan) satellite image with a low spectral and high spatial resolution. Recent studies show that wavelet-based image fusion provides high-quality spectral content in fused images. However, the results of most wavelet-based methods of image fusion have a spatial resolution that is less than that obtained via the Brovey, intensity-hue-saturation, and principal components analysis methods of image fusion. We introduce an improved method of image fusion which is based on the amelioration de la resolution spatiale par injection de structures (ARSIS) concept using the curvelet transform, because the curvelet transform represents edges better than wavelets. Because edges are fundamental in image representation, enhancing the edges is an effective means of enhancing spatial resolution. Curvelet-based image fusion has been used to merge a Landsat Enhanced Thematic Mapper Plus Pan and MS image. The proposed method simultaneously provides richer information in the spatial and spectral domains.-
dc.languageEnglish-
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc-
dc.subjectWAVELET DECOMPOSITION-
dc.subjectARSIS CONCEPT-
dc.subjectIMPLEMENTATION-
dc.subjectENHANCEMENT-
dc.subjectIHS-
dc.titleFusion of multispectral and panchromatic satellite images using the curvelet transform-
dc.typeArticle-
dc.identifier.wosid000230796000010-
dc.identifier.scopusid2-s2.0-18844435710-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.issue2-
dc.citation.beginningpage136-
dc.citation.endingpage140-
dc.citation.publicationnameIEEE GEOSCIENCE AND REMOTE SENSING LETTERS-
dc.identifier.doi10.1109/LGRS.2005.845313-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Hong Oh-
dc.contributor.nonIdAuthorKim, RY-
dc.contributor.nonIdAuthorNam, MR-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorcurvelet transform-
dc.subject.keywordAuthorimage fusion-
dc.subject.keywordAuthorLandsat Enhanced Thematic Mapper Plus (ETM plus ) image-
dc.subject.keywordAuthormultiresolution analysis-
dc.subject.keywordAuthorwavelet transform-
dc.subject.keywordPlusWAVELET DECOMPOSITION-
dc.subject.keywordPlusARSIS CONCEPT-
dc.subject.keywordPlusIMPLEMENTATION-
dc.subject.keywordPlusENHANCEMENT-
dc.subject.keywordPlusIHS-
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