[1]刘小丹,刘岩.基于Hough变换和数学形态学的遥感影像城区道路提取[J].南京师大学报(自然科学版),2010,33(04):128-133.
　Liu Xiaodan,Liu Yan.Urban Road Extraction From Remote Sensing Image Based on Hough Transform and Mathematical Morphology[J].Journal of Nanjing Normal University(Natural Science Edition),2010,33(04):128-133.
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基于Hough变换和数学形态学的遥感影像城区道路提取()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第33卷
期数:
2010年04期
页码:
128-133
栏目:
计算机科学
出版日期:
2010-12-20

文章信息/Info

Title:
Urban Road Extraction From Remote Sensing Image Based on Hough Transform and Mathematical Morphology
作者:
刘小丹;刘岩;
辽宁师范大学计算机与信息技术学院, 辽宁大连116081
Author(s):
Liu Xiaodan; Liu Yan
School of Computer and Information Technology,Liaoning Normal University,Dalian 116081,China
关键词:
H ough变换;  数学形态学;  遥感影像;  城区道路提取;  结构元素
Keywords:
hough transform;  m athem atica lm orpho logy;  remo te sensing;  urban road ex traction;  structural e lem ents
分类号:
TP751
摘要:
根据高分辨率遥感影像城区道路的分布特点和几何特征,提出一种基于Hough变换和数学形态学的高分辨率遥感影像城区道路提取方法.用Hough变换检测主要道路的方向及道路宽度,以此构造相应的数学形态学线性结构元素.将Hough变换用在数学形态学的结构元素选取上,解决了城区道路提取中直接用Hough变换方法不能精确提取较短道路和微小弯曲道路问题,克服了多尺度全方位结构元素方法的误判现象.
Abstract:
A ccording to the d istribution and geom etric character istics of urban road in h ighreso lution rem ote sensing image, this paper presents an approach to ex tract the u rban ro ad from h igh resolution remo te sensing im age based on hough transform andm athem aticalm orpho logy. Them e thod uses hough transfo rm to detect the d irection and w idth ofm a in road, constructs m athem atica lmo rpho logy liner structural e lem ents. Using the hough transfo rm to choose them athem atica lm or pho logy struc tura l e lem en ts, w e can so lve the prob lem that the hough transform m ethod canno t ex tract short curved roads and m ino r roads accurate ly, and can overcom e a situation of roadsm isjudgment w ith them ethod ofM u lti scale Om nidi rectiona l structura l e lements.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 辽宁省高等学校优秀人才支持计划基金( 200811833) . 通讯联系人: 刘小丹, 教授, 研究方向: 图像处理、数字化印刷技术. Email:liuxiao8866@ sina. com
更新日期/Last Update: 2013-04-08