Matches in SemOpenAlex for { <https://semopenalex.org/work/W2497147587> ?p ?o ?g. }
- W2497147587 endingPage "5725" @default.
- W2497147587 startingPage "5715" @default.
- W2497147587 abstract "Most of available pan-sharpening technologies suffer from spectral and spatial distortions, for the coarse extraction from Panchromatic (Pan) image and brute injection of details to multispectral (MS) images. In this paper, in order to reduce the color distortion and enhance the spatial information of fused images, we propose a refined pan-sharpening (RPS) method using geometric multiscale analysis (GMA) and hierarchical sparse autoencoder (HSAE). First, a GMA tool, nonsubsampled contourlet transform (NSCT), is used to capture directional details of the Pan image at multiple scales. Then at each scale, HSAE is developed to gradually filter out the refined spatial details, via sparsely coding details under spatial self-dictionaries. The refined details are then injected into MS images to alleviate spectral distortions. By exploring the spatial structure in images and refining the spatial details injection via HSAE, RPS can reduce distortions to present fidelity colors and sharp appearance. Some experiments are taken on several datasets collected by QuickBird, Geoeye, and IKONOS satellites, and the experimental results show that RPS can reduce distortions in both the spectral and spatial domains, and outperform some related methods in terms of both visual results and numerical guidelines." @default.
- W2497147587 created "2016-08-23" @default.
- W2497147587 creator A5002735194 @default.
- W2497147587 creator A5007544409 @default.
- W2497147587 creator A5014068004 @default.
- W2497147587 creator A5050630882 @default.
- W2497147587 creator A5080902896 @default.
- W2497147587 creator A5085025467 @default.
- W2497147587 date "2016-12-01" @default.
- W2497147587 modified "2023-10-16" @default.
- W2497147587 title "Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder" @default.
- W2497147587 cites W1964517309 @default.
- W2497147587 cites W1983081441 @default.
- W2497147587 cites W2000323021 @default.
- W2497147587 cites W2014316959 @default.
- W2497147587 cites W2015380729 @default.
- W2497147587 cites W2020442368 @default.
- W2497147587 cites W2034039863 @default.
- W2497147587 cites W2044394856 @default.
- W2497147587 cites W2048964123 @default.
- W2497147587 cites W2055215570 @default.
- W2497147587 cites W2063918038 @default.
- W2497147587 cites W2077061503 @default.
- W2497147587 cites W2088538848 @default.
- W2497147587 cites W2097130407 @default.
- W2497147587 cites W2100329651 @default.
- W2497147587 cites W2105090634 @default.
- W2497147587 cites W2106002835 @default.
- W2497147587 cites W2106891293 @default.
- W2497147587 cites W2108790520 @default.
- W2497147587 cites W2111924917 @default.
- W2497147587 cites W2112693869 @default.
- W2497147587 cites W2117853853 @default.
- W2497147587 cites W2124952510 @default.
- W2497147587 cites W2127271355 @default.
- W2497147587 cites W2129953395 @default.
- W2497147587 cites W2136530150 @default.
- W2497147587 cites W2139027584 @default.
- W2497147587 cites W2144436897 @default.
- W2497147587 cites W2159269332 @default.
- W2497147587 cites W2163334907 @default.
- W2497147587 cites W2163677711 @default.
- W2497147587 cites W2165329055 @default.
- W2497147587 cites W2171108951 @default.
- W2497147587 cites W2293167795 @default.
- W2497147587 doi "https://doi.org/10.1109/jstars.2016.2584142" @default.
- W2497147587 hasPublicationYear "2016" @default.
- W2497147587 type Work @default.
- W2497147587 sameAs 2497147587 @default.
- W2497147587 citedByCount "9" @default.
- W2497147587 countsByYear W24971475872016 @default.
- W2497147587 countsByYear W24971475872018 @default.
- W2497147587 countsByYear W24971475872019 @default.
- W2497147587 countsByYear W24971475872021 @default.
- W2497147587 countsByYear W24971475872022 @default.
- W2497147587 countsByYear W24971475872023 @default.
- W2497147587 crossrefType "journal-article" @default.
- W2497147587 hasAuthorship W2497147587A5002735194 @default.
- W2497147587 hasAuthorship W2497147587A5007544409 @default.
- W2497147587 hasAuthorship W2497147587A5014068004 @default.
- W2497147587 hasAuthorship W2497147587A5050630882 @default.
- W2497147587 hasAuthorship W2497147587A5080902896 @default.
- W2497147587 hasAuthorship W2497147587A5085025467 @default.
- W2497147587 hasConcept C101738243 @default.
- W2497147587 hasConcept C107445234 @default.
- W2497147587 hasConcept C108583219 @default.
- W2497147587 hasConcept C121475858 @default.
- W2497147587 hasConcept C153180895 @default.
- W2497147587 hasConcept C154945302 @default.
- W2497147587 hasConcept C173163844 @default.
- W2497147587 hasConcept C196216189 @default.
- W2497147587 hasConcept C20479862 @default.
- W2497147587 hasConcept C2781137444 @default.
- W2497147587 hasConcept C31972630 @default.
- W2497147587 hasConcept C41008148 @default.
- W2497147587 hasConcept C47432892 @default.
- W2497147587 hasConceptScore W2497147587C101738243 @default.
- W2497147587 hasConceptScore W2497147587C107445234 @default.
- W2497147587 hasConceptScore W2497147587C108583219 @default.
- W2497147587 hasConceptScore W2497147587C121475858 @default.
- W2497147587 hasConceptScore W2497147587C153180895 @default.
- W2497147587 hasConceptScore W2497147587C154945302 @default.
- W2497147587 hasConceptScore W2497147587C173163844 @default.
- W2497147587 hasConceptScore W2497147587C196216189 @default.
- W2497147587 hasConceptScore W2497147587C20479862 @default.
- W2497147587 hasConceptScore W2497147587C2781137444 @default.
- W2497147587 hasConceptScore W2497147587C31972630 @default.
- W2497147587 hasConceptScore W2497147587C41008148 @default.
- W2497147587 hasConceptScore W2497147587C47432892 @default.
- W2497147587 hasFunder F4320321001 @default.
- W2497147587 hasFunder F4320335787 @default.
- W2497147587 hasIssue "12" @default.
- W2497147587 hasLocation W24971475871 @default.
- W2497147587 hasOpenAccess W2497147587 @default.
- W2497147587 hasPrimaryLocation W24971475871 @default.
- W2497147587 hasRelatedWork W2052541459 @default.
- W2497147587 hasRelatedWork W2063918038 @default.
- W2497147587 hasRelatedWork W2098526795 @default.