计算机工程与应用2018，Vol.54Issue(13)：1-10,51,11.DOI:10.3778/j.issn.1002-8331.1804-0271
遥感图像道路提取方法综述
Summary of road extraction methods for remote sensing images
摘要
Abstract
Road information plays an important role in modern society. It is of great scientific significance to study the road extraction method of remote sensing image. This paper reviews the development process of road extraction method, and divides the existing road extraction methods into three categories:based on pixel, object-oriented and deep learning 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 remote sensing image is prospected.关键词
卫星遥感/图像处理/道路提取/深度学习Key words
satellite remote sensing/image processing/road extraction/deep learning分类
信息技术与安全科学引用本文复制引用
张永宏,何静,阚希,夏广浩,朱灵龙,葛涛涛..遥感图像道路提取方法综述[J].计算机工程与应用,2018,54(13):1-10,51,11.基金项目
国家自然科学基金国际(地区)合作与交流项目(No.41661144039). （地区）
