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Proceedings Paper

Localization of buildings with a gable roof in very high-resolution aerial images
Author(s): Lykele Hazelhoff; Peter H. N. de With
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Paper Abstract

This study aims at the robust automatic detection of buildings with a gable roof in varying rural areas from very-high-resolution aerial images. The originality of our approach resides in a custom-made design extracting key features close to modeling, such as e.g. roof ridges and gutters. In this way, we allow a large freedom in roof appearances. The proposed method is based on a combination of two hypotheses. First, it exploits the physical properties of gable roofs and detects straight line-segments within non-vegetated and non-farmland areas, as possibilities of occurring roof-ridges. Second, for each of these candidate roof-ridges, the likely roof-gutter positions are estimated for both sides of the line segment, resulting in a set of possible roof configurations. These hypotheses are validated based on the analysis of size, shadow, color and edge information, where for each roof-ridge candidate the optimal configuration is selected. Roof configurations with unlikely properties are rejected and afterwards ridges with overlapping configurations are fused. Experiments conducted on a set of 200 images covering various rural regions, with a large variation in both building appearance and surroundings, show that the algorithm is able to detect 75% of the buildings with a precision of 69.4%. We consider this as a reasonably good result, since the computing is fully unconstrained, numerous buildings were occluded by trees and because there is a significant appearance difference between the considered test images.

Paper Details

Date Published: 31 January 2011
PDF: 11 pages
Proc. SPIE 7882, Visual Information Processing and Communication II, 788208 (31 January 2011); doi: 10.1117/12.873748
Show Author Affiliations
Lykele Hazelhoff, CycloMedia Technology B.V. (Netherlands)
Technische Univ. Eindhoven (Netherlands)
Peter H. N. de With, CycloMedia Technology B.V. (Netherlands)
Technische Univ. Eindhoven (Netherlands)


Published in SPIE Proceedings Vol. 7882:
Visual Information Processing and Communication II
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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