国土资源遥感Issue(4)：29-33,5.DOI:10.6046/gtzyyg.2014.04.05
基于双阈值SSDA模板匹配的遥感图像道路边缘检测研究
Road edge detection based on dual-threshold SSDA template matching
摘要
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.关键词
遥感图像/道路边缘/序贯相似性检测算法(SSDA)/双阈值Key words
remote sensing images/road edge/sequential similarity detection algorithm (SSDA)/dual-threshold分类
信息技术与安全科学引用本文复制引用
阙昊懿,黄辉先,徐建闽..基于双阈值SSDA模板匹配的遥感图像道路边缘检测研究[J].国土资源遥感,2014,(4):29-33,5.基金项目
国家“863”计划项目“基于出行者视角的多维交通状态感知”(编号:2012AA112305)资助。 （编号:2012AA112305）
