Abstract
A road detection method based on Circular Projection (CP) matching and tracking strategy is proposed in this paper. The CP matching is a template matching-based algorithm with rotation invariant and low computation characteristics. This advantage is beneficial for twisty roads detection. Take the good use of the advantage, we improve the CP matching to make it more applicable for road detection, including: optimal template radius selection, approximation control parameter, and anti-interference correction for suppressing brightness and random noise affects. The overall road detection is using a dual-directional tracking strategy. In road tracking, we use a fan-shaped scope to limit the direction of template matching to prevent backtracking. In tracking procedure, we propose an adaptive template matching algorithm, overcoming changes between the selected template and targets. Finally, SPOT-5 and GeoEye-1 remote sensing images are used for experiment. The experimental result shows that the proposed method is rotation invariant, flexible and fast, which is applicable to the twisty road detection. The experiment results also show that road detection error is about 2 ~ 5 m, and detection accuracy is higher than 80 %.
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