Sensors 2009, 9(7), 5679-5701; doi:10.3390/s90705679
Article

Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models

Department of Geomatics Engineering, The University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, Canada
* Author to whom correspondence should be addressed.
Received: 8 June 2009; in revised form: 7 July 2009 / Accepted: 7 July 2009 / Published: 15 July 2009
PDF Full-text Download PDF Full-Text [2652 KB, uploaded 15 July 2009 00:04 CEST]
Abstract: This research is concerned with a methodology for automated generation of polyhedral building models for complex structures, whose rooftops are bounded by straight lines. The process starts by utilizing LiDAR data for building hypothesis generation and derivation of individual planar patches constituting building rooftops. Initial boundaries of these patches are then refined through the integration of LiDAR and photogrammetric data and hierarchical processing of the planar patches. Building models for complex structures are finally produced using the refined boundaries. The performance of the developed methodology is evaluated through qualitative and quantitative analysis of the generated building models from real data.
Keywords: polyhedral building model generation; complex structures; data integration; LiDAR; photogrammetry; hierarchical processing

Article Statistics

Click here to load and display the download statistics.

Cite This Article

MDPI and ACS Style

Kim, C.; Habib, A. Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models. Sensors 2009, 9, 5679-5701.

AMA Style

Kim C., Habib A. Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models. Sensors. 2009; 9(7):5679-5701.

Chicago/Turabian Style

Kim, Changjae; Habib, Ayman. 2009. "Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models." Sensors 9, no. 7: 5679-5701.

Sensors EISSN 1424-8220 Published by MDPI Publishing, Basel, Switzerland RSS E-Mail Table of Contents Alert