遥感图像道路提取方法综述-计算机工程与应用.PDFVIP

Computer Engineering and Applications 计算机工程与应用 2018 ，54（13） 1 ⦾热点与综述⦾ 用 遥感图像道路提取方法综述 应 张永宏，何 静，阚 希，夏广浩，朱灵龙，葛涛涛 与 ZHANG Yonghong, HE Jing, KAN Xi, XIA Guanghao, ZHU Linglong, GE Taotao 程 g 南京信息工程大学 信息与控制学院，南京 210044 r 工 o School of Information and Control, Nanjing University of Information Science Technology, Nanjing 210044, China . 机 j a ZHANG Yonghong, HE Jing, KAN Xi, et al. Summary of road extraction methods for remote sensing images. e Computer Engineering and Applications, 2018, 54 （13）：1-10. 算 c 计 . Abstract ：Road information plays an important role in modern society. It is of great scientific significance to study the w road extraction method of remote sensing image. This paper reviews the development process of road extraction method, w and divides the existing road extraction methods into three categories ：based on pixel, object-oriented and deep learning w according to the realization form. It is used as a clue to analyze and compare the scope of application of various methods with advantages and disadvantages. Design experiments, with a number of high-resolution satellite remote sensing images as the experimental object, verify the comparison of various types of typical road extraction method of the actual perfor- mance. The experimental results show that the method of road extraction based on deep learning is the best. Finally, based on the theory of popular remote sensing data and artificial intelligence, the development trend of road extraction method of