Remote Sens. 2011, 3(4), 721-751; doi:10.3390/rs3040721
Article

3-Dimensional Building Details from Aerial Photography for Internet Maps

Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, 8010 Graz, Austria
* Author to whom correspondence should be addressed.
Received: 5 January 2011; in revised form: 1 February 2011 / Accepted: 11 February 2011 / Published: 8 April 2011
(This article belongs to the Special Issue 100 Years ISPRS - Advancing Remote Sensing Science)
PDF Full-text Download PDF Full-Text [1513 KB, uploaded 8 April 2011 10:59 CEST]
Abstract: This paper introduces the automated characterization of real estate (real property) for Internet mapping. It proposes a processing framework to achieve this task from vertical aerial photography and associated property information. A demonstration of the feasibility of an automated solution builds on test data from the Austrian City of Graz. Information is extracted from vertical aerial photography and various data products derived from that photography in the form of a true orthophoto, a dense digital surface model and digital terrain model, and a classification of land cover. Maps of cadastral property boundaries aid in defining real properties. Our goal is to develop a table for each property with descriptive numbers about the buildings, their dimensions, number of floors, number of windows, roof shapes, impervious surfaces, garages, sheds, vegetation, presence of a basement floor, and other descriptors of interest for each and every property of a city. From aerial sources, at a pixel size of 10 cm, we show that we have obtained positional accuracies in the range of a single pixel, an accuracy of areas in the 10% range, floor counts at an accuracy of 93% and window counts at 86% accuracy. We also introduce 3D point clouds of facades and their creation from vertical aerial photography, and how these point clouds can support the definition of complex facades.
Keywords: aerial images; 3D-modeling of buildings; semantic image interpretation; counting building floors; window detection; real estate valuation; facade point clouds

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Meixner, P.; Leberl, F. 3-Dimensional Building Details from Aerial Photography for Internet Maps. Remote Sens. 2011, 3, 721-751.

AMA Style

Meixner P, Leberl F. 3-Dimensional Building Details from Aerial Photography for Internet Maps. Remote Sensing. 2011; 3(4):721-751.

Chicago/Turabian Style

Meixner, Philipp; Leberl, Franz. 2011. "3-Dimensional Building Details from Aerial Photography for Internet Maps." Remote Sens. 3, no. 4: 721-751.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert