计算机工程与应用2011，Vol.47Issue(34)：187-189,3.DOI:10.3778/j.issn.1002-8331.2011.34.052
基于纹理-模糊连接度的遥感影像道路自动提取
Automatic road extraction from remote sensing images based on texture-fuzzy connectedness
摘要
Abstract
Road extraction from remote sensing images has always been an important research topic in the field of remote sensing.This paper presents an improved automatic road extraction algorithm based on fuzzy connectedness.The algorithm detects the edge of the image with Canny operator, and extracts road seeds by combined optimization of road threshold and classification algorithm.Then by introducing the fuzzy connection containing texture energy and calculating connectedness of the points to the seeds by ergodic process,the entire road profile will be uncovered.In many trials of treating remote sensing images as objects,the performance of extraction algorithm is better with higher accuracy.关键词
模糊连接度/纹理能量/道路提取Key words
fuzzy connectedness/texture energy/road extraction分类
信息技术与安全科学引用本文复制引用
钱厦,盛庆红,宗鹏..基于纹理-模糊连接度的遥感影像道路自动提取[J].计算机工程与应用,2011,47(34):187-189,3.基金项目
南京航空航天大学引进人才基金资助项目(No.S0881-HT). （No.S0881-HT）
