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

Autor(en): Schiewe, J
Ehlers, M
Stichwörter: CLASSIFICATION; IMAGERY; Imaging Science & Photographic Technology; LAND-COVER; Remote Sensing; SATELLITE; SPATIAL-RESOLUTION
Erscheinungsdatum: 2005
Herausgeber: TAYLOR & FRANCIS LTD
Journal: INTERNATIONAL JOURNAL OF REMOTE SENSING
Volumen: 26
Ausgabe: 4
Startseite: 683
Seitenende: 698
Zusammenfassung: 
Modelling 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.
Beschreibung: 
3rd International Symposium on Remote Sensing of Urban Areas, Istanbul, TURKEY, JUN 11-13, 2002
ISSN: 01431161
DOI: 10.1080/01431160512331316829

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