Road detection from aerial images: a cooperation between local and global methods

Sylvain Airault; Renaud Ruskone; Olivier Jamet

doi:10.1117/12.196751

30 December 1994 Road detection from aerial images: a cooperation between local and global methods

Sylvain Airault, Renaud Ruskone, Olivier Jamet

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196751
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

We present in this paper a road detection method based on the cooperation between a road following algorithm and a global method which consists of a whole image segmentation followed by a characterization of regions (using shape and texture criteria). One will find there an overview of the approach, a description of the used techniques and then a presentation of the mean we use to make both methods cooperate. Both of our methods are based on quite the same road model (roads are elongated objects with parallel edges and an homogeneous texture) and both try to extract the same kind of roads: the interest of the approach is more to improve the detection reliability for a great part of the network than to look for an exhaustive extraction.

Citation Download Citation

Sylvain Airault, Renaud Ruskone, and Olivier Jamet "Road detection from aerial images: a cooperation between local and global methods", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196751

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