{"data":{"id":"10.6084/m9.figshare.3412381.v4","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3412381.v4","prefix":"10.6084","suffix":"m9.figshare.3412381.v4","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Yuwen Hu","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Pan-sharpening with Structural Consistency and L1/2 Gradient Prior"}],"publisher":"Figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"90609 Signal Processing","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80106 Image Processing","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"90905 Photogrammetry and Remote Sensing","subjectScheme":"FOR"},{"subject":"FOS: Environmental engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Environmental engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2016-06-12","dateType":"Created"},{"date":"2016-06-12","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.3412381","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["33226115 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"CC-BY","rightsUri":"http://creativecommons.org/licenses/by/3.0/us"}],"descriptions":[{"description":"In this letter, a variational method is proposed for pan-sharpening by fusing a \nlow resolution multispectral (LRMS) image with a high resolution panchromatic \n(PAN) image to generate a high resolution multispectral (HRMS) image. Most \nmethods focus on spatial intensity preservation while the proposed method tends \nto preserve the consistency of the spatial structure information. In addition, \nan L\u003csub\u003e1\u003c/sub\u003e-aL\u003csub\u003e2\u003c/sub\u003e metric is used to estimate L\u003csub\u003e1/2\u003c/sub\u003e \ngradient prior. The alternating direction method of multipliers (ADMM) and the \ndifference of convex algorithm (DCA) are used to guarantee the convergence of \nthe algorithm. A large number of experiments show that the proposed method has \nobvious advantages compared with other advanced methods both subjectively and \nobjectively.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/Pan-sharpening_with_Structural_Consistency_and_L1_2_Gradient_Prior/3412381/4","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2016-06-12T09:04:01.000Z","registered":"2016-06-12T09:04:02.000Z","published":"2016","updated":"2024-12-14T12:29:18.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.3412381.v4","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}