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WACV
2008
IEEE

A Vision-Based System For Automatic Detection and Extraction Of Road Networks

9 years 5 months ago
A Vision-Based System For Automatic Detection and Extraction Of Road Networks
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, satellite images, and LiDAR. Uniquely, the proposed system is an integrated solution that merges the power of perceptual grouping theory(gabor filtering, tensor voting) and optimized segmentation techniques(global optimization using graph-cuts) into a unified framework to address the challenging problems of geospatial feature detection and classification. Firstly, the local presicion of the gabor filters is combined with the global context of the tensor voting to produce accurate classification of the geospatial features. In addition, the tensorial representation used for the encoding of the data eliminates the need for any thresholds, therefore removing any data dependencies. Secondly, a novel orientation-based segmentation is presented which incorporates the classification of the perceptual grouping, and ...
Charalambos Poullis, Suya You, Ulrich Neumann
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where WACV
Authors Charalambos Poullis, Suya You, Ulrich Neumann
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