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Taking optimal advantage of fine spatial information: promoting partial image reconstruction for the morphological analysis of very-high-resolution images

dc.contributor.authorLiao, Wenzhi
dc.contributor.authorChanussot, Jocelyn
dc.contributor.authorDalla Mura, Mauro
dc.contributor.authorHuang, Xin
dc.contributor.authorBellens, Rik
dc.contributor.authorGautama, Sidharta
dc.contributor.authorPhilips, Wilfried
dc.contributor.editorBruzzone, Lorenzo
dc.date.accessioned2021-10-24T07:56:41Z
dc.date.available2021-10-24T07:56:41Z
dc.date.issued2017
dc.identifier.issn2168-6831
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/28818
dc.sourceIIOimport
dc.titleTaking optimal advantage of fine spatial information: promoting partial image reconstruction for the morphological analysis of very-high-resolution images
dc.typeJournal article
dc.contributor.imecauthorLiao, Wenzhi
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage8
dc.source.endpage28
dc.source.journalIEEE Geoscience and Remote Sensing Magazine
dc.source.issue2
dc.source.volume5
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7946217
imec.availabilityPublished - open access


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