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True 3D-information from digital aerial images—Edge detection and adjustment from an oblique viewing multi-camera system

Dahlke, Dennis and Wieden, Alexander (2013) True 3D-information from digital aerial images—Edge detection and adjustment from an oblique viewing multi-camera system. In: Urban Remote Sensing Event (JURSE), 2013 Joint, pp. 242-245. Urban Remote Sensing Event (JURSE), 21.-23.Apr. 2013, Sao Paulo. ISBN 978-1-4799-0212-5

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6550710

Abstract

Automated processes for building reconstruction including roof- and façade structures with accuracies better than 0.5 m have not been developed yet. This paper introduces a conceptual approach to derive 3D building edges automatically from oblique aerial imagery. A sub-pixel accurate version of the Canny algorithm is used for detection and segmentation of line segments found on seven oblique true orthomosaics (TOM) mapping a scene from different cardinal directions. With respect to the properties of oblique photogrammetric products and the characteristics of their derivation, all detected line segments are weighted based on their individual camera-target path. An adjustment approach is implemented, which adjusts redundant line segments that are found in several oblique TOM. A validation of the adjustment is done by using tacheometrically measured reference points. On average the approach yields in accuracies of 30 to 35 cm in X, Y and Z.

Item URL in elib:https://elib.dlr.de/83709/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:True 3D-information from digital aerial images—Edge detection and adjustment from an oblique viewing multi-camera system
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dahlke, DennisUNSPECIFIEDUNSPECIFIED
Wieden, AlexanderUNSPECIFIEDUNSPECIFIED
Date:April 2013
Journal or Publication Title:Urban Remote Sensing Event (JURSE), 2013 Joint
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 242-245
Series Name:Urban Remote Sensing Event (JURSE), 2013 Joint
ISBN:978-1-4799-0212-5
Status:Published
Keywords:buildings (structures) edge detection geophysical image processing image segmentation photogrammetry roofs terrain mapping video cameras
Event Title:Urban Remote Sensing Event (JURSE)
Event Location:Sao Paulo
Event Type:international Conference
Event Dates:21.-23.Apr. 2013
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Informationssysteme (old)
Location: Berlin-Adlershof
Institutes and Institutions:Optical Information Systems
Deposited By: Wieden, MSc. Dipl. Ing. Alexander
Deposited On:12 Aug 2013 07:00
Last Modified:31 Jul 2019 19:41

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