Road edge detection based on dual-threshold SSDA template matching
QUE Haoyi1, HUANG Huixian1, XU Jianmin2
1. The College of Information Engineering, Xiangtan University, Xiangtan 411105, China;
2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510200, China
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.
[1] 孙家柄.遥感原理与应用[M].武汉:武汉大学出版社,2003:79-111. Sun J B.Principles and Applications of Remote Sensing[M].Wuhan:Wuhan University Press,2003:79-111.[2] 李石华,王金亮,毕艳,等.遥感图像分类方法研究综述[J].国土资源遥感,2005,17(2):1-6. Li S H,Wang J L,Bi Y,et al.A Review of methods for classification of remote sensing images[J].Remote Sensing for Land and Resources,2005,17(2):1-6.[3] 朱长青,王耀革,马秋禾,等.基于形态分割的高分辨率遥感影像道路提取[J].测绘学报,2004,33(4):347-351. Zhu C Q,Wang Y G,Ma Q H,et al.Road extraction from high-resolution remotely sensed image based on morphological segmentation[J].Acta Geodaetica et Cartographica Sinica,2004,33(4):347-351.[4] Kaplan N H,Erer I,Kent S.Edge detection in remote sensing images via lattice filters based subband decomposition[C]//Proceedings of the 4th International Conference on Recent Advances in Space Technologies.IEEE,2009:437-440.[5] Cai Y Q,Tong X H,Shu R.Multi-scale segmentation of remote sensing image based on watershed transformation[C]//IEEE Joint Urban Remote Sensing Event.Shanghai,2009:1-6.[6] 梅珍,林伟.SAR图像道路检测及其仿真[J].计算机仿真,2010,27(5):201-203,251. Mei Z,Lin W.SAR image road detection and simulation[J].Computer Simulation,2010,27(5):201-203,251.[7] 邓小炼,王长耀,王汶,等.一种遥感影像地面控制点动态模板匹配算法[J].国土资源遥感,2005,17(2):7-11. Deng X L,Wang C Y,Wang W,et al.An efficient remote sensing image ground control point matching algorithm based on dynamic template[J].Remote Sensing for Land and Resources,2005,17(2):7-11.[8] Yu X Q,Chen X,Jiang M.Motion detection in moving background using a novel algorithm based on image features guiding self-adaptive Sequential Similarity Detection Algorithm[J].Optik-International Journal for Light and Electron Optics,2012,123(22):2031-2037.[9] Du P J,Liu S C,Xia J S,et al.Information fusion techniques for change detection from multi-temporal remote sensing images[J].Information Fusion,2013,14(1):19-27.[10] Lopez-Molina C,De Baets B,Bustince H,et al.Multiscale edge detection based on Gaussian smoothing and edge tracking[J].Knowledge-Based Systems,2013,44:101-111.[11] Fazan A J,Poz A P D.Rectilinear building roof contour extraction based on snakes and dynamic programming[J].International Journal of Applied Earth Observation and Geoinformation,2013,25:1-10.[12] Yang G W,Xu F C.Research and analysis of image edge detection algorithm based on the matlab[J].Procedia Engineering,2011,15:1313-1318.[13] Barnea E I,Silverman H F A.A class of algorithms for fast digital image registration[J].IEEE Transactions on Computers,1972,C-21(2):179-186.
2014, Vol. 26 
