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dc.contributor.authorRingaby, Erik
dc.contributor.authorFriman, Ola
dc.contributor.authorForssén, Per-Erik
dc.contributor.authorOpsahl, Thomas Olsvik
dc.contributor.authorHaavardsholm, Trym Vegard
dc.contributor.authorKåsen, Ingebjørg
dc.date.accessioned2017-10-31T07:15:31Z
dc.date.accessioned2017-11-01T08:45:05Z
dc.date.available2017-10-31T07:15:31Z
dc.date.available2017-11-01T08:45:05Z
dc.date.issued2014
dc.identifier.citationRingaby, Friman, Forssén, Opsahl TO, Haavardsholm TV, Kåsen I. Anisotropic scattered data interpolation for pushbroom image rectification. IEEE Transactions on Image Processing. 2014;23(5):2302-2314en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/765
dc.identifier.urihttps://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/765
dc.descriptionRingaby, Erik; Friman, Ola; Forssén, Per-Erik; Opsahl, Thomas Olsvik; Haavardsholm, Trym Vegard; Kåsen, Ingebjørg. Anisotropic scattered data interpolation for pushbroom image rectification. IEEE Transactions on Image Processing 2014 ;Volum 23.(5) s. 2302-2314en_GB
dc.description.abstractThis paper deals with fast and accurate visualization of pushbroom image data from airborne and spaceborne platforms. A pushbroom sensor acquires images in a line-scanning fashion, and this results in scattered input data that need to be resampled onto a uniform grid for geometrically correct visualization. To this end, we model the anisotropic spatial dependence structure caused by the acquisition process. Several methods for scattered data interpolation are then adapted to handle the induced anisotropic metric and compared for the pushbroom image rectification problem. A trick that exploits the semiordered line structure of pushbroom data to improve the computational complexity several orders of magnitude is also presented.en_GB
dc.language.isoenen_GB
dc.titleAnisotropic scattered data interpolation for pushbroom image rectificationen_GB
dc.typeArticleen_GB
dc.date.updated2017-10-31T07:15:31Z
dc.identifier.cristinID1184630
dc.identifier.cristinID1184630
dc.identifier.doi10.1109/TIP.2014.2316377
dc.relation.projectIDForsvarets forskningsinstitutt: 1261
dc.source.issn1057-7149
dc.source.issn1941-0042
dc.type.documentJournal article
dc.relation.journalIEEE Transactions on Image Processing


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