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Remote Sens. 2011, 3(8), 1553-1567; doi:10.3390/rs3081553

Extracting Buildings from True Color Stereo Aerial Images Using a Decision Making Strategy

1
Politecnico di Bari, via Orabona n.4, Bari 70125, Italy
2
ISSIA CNR, via Amendola n. 122/D-O, Bari 70126, Italy
*
Author to whom correspondence should be addressed.
Received: 20 May 2011 / Revised: 11 July 2011 / Accepted: 11 July 2011 / Published: 25 July 2011
(This article belongs to the Special Issue Urban Remote Sensing)
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Abstract

The automatic extraction of buildings from true color stereo aerial imagery in a dense built-up area is the main focus of this paper. Our approach strategy aimed at reducing the complexity of the image content by means of a three-step procedure combining reliable geospatial image analysis techniques. Even if it is a rudimentary first step towards a more general approach, the method presented proved useful in urban sprawl studies for rapid map production in flat area by retrieving indispensable information on buildings from scanned historic aerial photography. After the preliminary creation of a photogrammetric model to manage Digital Surface Model and orthophotos, five intermediate mask-layers data (Elevation, Slope, Vegetation, Shadow, Canny, Shadow, Edges) were processed through the combined use of remote sensing image processing and GIS software environments. Lastly, a rectangular building block model without roof structures (Level of Detail, LoD1) was automatically generated. System performance was evaluated with objective criteria, showing good results in a complex urban area featuring various types of building objects.
Keywords: building extraction; decision making strategy; photogrammetry/RS/GIS; true color aerial imagery building extraction; decision making strategy; photogrammetry/RS/GIS; true color aerial imagery
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Tarantino, E.; Figorito, B. Extracting Buildings from True Color Stereo Aerial Images Using a Decision Making Strategy. Remote Sens. 2011, 3, 1553-1567.

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