A novel method for generating 3D city models from high resolution and multi-sensor remote sensing data

DC FieldValueLanguage
dc.contributor.authorSchiewe, J
dc.contributor.authorEhlers, M
dc.date.accessioned2021-12-23T16:03:18Z-
dc.date.available2021-12-23T16:03:18Z-
dc.date.issued2005
dc.identifier.issn01431161
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/5911-
dc.description3rd International Symposium on Remote Sensing of Urban Areas, Istanbul, TURKEY, JUN 11-13, 2002
dc.description.abstractModelling urban objects and phenomena puts extremely high demands, on the acquisition and analysis of the necessary data. In this context. digital airborne camera systems offer very high spatial resolutions and the simultaneous acquisition of elevation data either through stereo-matching or by laser scanning. However. with these data the user community faces new problems in their analysis. In response. region-based classification approaches have been developed. but these are not yet fully automatic. reliable and transferable. Hence. this paper proposes a novel hybrid and multi-scale methodology which performs a classification on all segmented levels (called Classification on multiple Segment levels ComS). First investigations validate the applicability as well as the accuracy of the proposed methodology compared with conventional approaches. such as a supervised. pixel-based maximum likelihood classification.
dc.language.isoen
dc.publisherTAYLOR & FRANCIS LTD
dc.relation.ispartofINTERNATIONAL JOURNAL OF REMOTE SENSING
dc.subjectCLASSIFICATION
dc.subjectIMAGERY
dc.subjectImaging Science & Photographic Technology
dc.subjectLAND-COVER
dc.subjectRemote Sensing
dc.subjectSATELLITE
dc.subjectSPATIAL-RESOLUTION
dc.titleA novel method for generating 3D city models from high resolution and multi-sensor remote sensing data
dc.typeconference paper
dc.identifier.doi10.1080/01431160512331316829
dc.identifier.isiISI:000226932600004
dc.description.volume26
dc.description.issue4
dc.description.startpage683
dc.description.endpage698
dc.publisher.place4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
dcterms.isPartOf.abbreviationInt. J. Remote Sens.
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