Abstract
Extracting road edge information from remote sensing image can simplify the conventional urban road mapping work. Based on the general road image features,this paper proposes a dual-threshold SSDA( sequential similarity detection algorithm) template matching method in an image processing model. And on the basis of the general SSDA,another algorithm is presented to reduce the excessive number of samples responsible for the error growth. Compared with other algorithms,this algorithm can more effectively access the road edge information extraction. As for some parts of the road which cannot be completely extracted through pretreatment process,the detection results can be corrected to reduce treatment,and hence the processing efficiency will be improved.
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