The extraction method based on the edge features is widely used in the road recognition of remote sensing image. However, the traditional methods are not good at eliminating noise, and tend to cause the misjudgment and leak-judgment of the edge. Therefore, based on the idea of the canny edge detection algorithm, the authors firstly adopt a smoothing and self-adapting Gaussian filter to reduce the noise of remote sensing image, reduce the noise interference and reserve the edge and details. Then, in the edge judgment of the dual threshold, the authors select the high and low thresholds on the basis of local characteristics within the object scale of the pixel point and enhance the exact judgment performance of the edge. The experiment results show that the new method can effectively improve the accuracy and positioning accuracy of the edge detection, obviously reduce the misjudgment of road edge extraction and remarkably increase integrity and consecutiveness, with high automation.
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