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dc.date.accessioned2020-08-19T09:41:21Z
dc.date.available2020-08-19T09:41:21Z
dc.date.created2020-08-13T08:28:38Z
dc.date.issued2020
dc.identifier.citationGirod, Luc Maurice Ramuntcho Filhol, Simon Vincent P . ABSOLUTE COREGISTRATION AND DOMING CORRECTION IN ADVERSE CONDITIONS, OR HOW TO RETRIEVE SNOW DEPTH FROM DRONE FLIGHTS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020, V-3-2020, 375-379
dc.identifier.urihttp://hdl.handle.net/10852/78582
dc.description.abstractDoming, a superimposition of a scene-wide dome-shaped bias to the elevation data, is a classical problem in photogrammetry, especially when using the auto-calibration and bundle adjustment typical of the Structure-from-Motion approach. A number of solutions have been proposed, but most rely on a certain degree of freedom in the data acquisition strategy, such as the ability to acquire many ground control points or to acquire additional imagery over the area of interest with different flight parameters. In this paper, we present a method to solve for the dome when working on a snowfield in the Norwegian mountains. That specific situation leads to difficulties to fly the drone optimally and acquire ground control points due to short weather windows, high winds, cold temperatures, low sun angles and short day duration (i.e. high latitudes). Here, we use natural landmarks and pre-existing knowledge about the bare ground topography for removing the inevitable dome.
dc.languageEN
dc.publisherCopernicus Publications on behalf of The International Society for Photogrammetry and Remote Sensing
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleABSOLUTE COREGISTRATION AND DOMING CORRECTION IN ADVERSE CONDITIONS, OR HOW TO RETRIEVE SNOW DEPTH FROM DRONE FLIGHTS
dc.typeJournal article
dc.creator.authorGirod, Luc Maurice Ramuntcho
dc.creator.authorFilhol, Simon Vincent P
cristin.unitcode185,15,22,95
cristin.unitnameTeknisk-administrativ gruppe
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1823068
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences&rft.volume=V-3-2020&rft.spage=375&rft.date=2020
dc.identifier.jtitleISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.identifier.volumeV-3-2020
dc.identifier.startpage375
dc.identifier.endpage379
dc.identifier.doihttps://doi.org/10.5194/isprs-annals-V-3-2020-375-2020
dc.identifier.urnURN:NBN:no-81675
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2194-9042
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/78582/1/isprs-annals-V-3-2020-375-2020.pdf
dc.type.versionPublishedVersion


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