测绘学报 ›› 2017, Vol. 46 ›› Issue (11): 1850-1858.doi: 10.11947/j.AGCS.2017.20170162

• 摄影测量学与遥感 • 上一篇    下一篇

顾及拓扑关系的立体影像直线特征可靠匹配算法

王竞雪1,2, 朱庆1, 王伟玺3   

  1. 1. 西南交通大学地球科学与环境工程学院, 四川 成都 611756;
    2. 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 123000;
    3. 深圳大学智慧城市研究院, 广东 深圳 518060
  • 收稿日期:2017-04-06 修回日期:2017-09-19 出版日期:2017-11-20 发布日期:2017-12-05
  • 通讯作者: 朱庆 E-mail:zhuq66@263.net
  • 作者简介:王竞雪(1981-),女,博士,副教授,研究方向为数字影像匹配。E-mail:xiaoxue1861@163.com
  • 基金资助:

    国家自然科学基金(41631174;41101452);辽宁省教育厅科学研究一般项目(LJYL010)

Reliable Line Matching Algorithm for Stereo Images with Topological Relationship

WANG Jingxue1,2, ZHU Qing1, WANG Weixi3   

  1. 1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
    2. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
    3. Research Institute for Smart Cities, Shenzhen University, Shenzhen 518060, China
  • Received:2017-04-06 Revised:2017-09-19 Online:2017-11-20 Published:2017-12-05
  • Supported by:

    The National Natural Science Foundation of China (Nos. 41631174 41101452) General Scientific Research Project Supported by Liaoning Provincial Education Department (No. LJYL010)

摘要:

针对单直线匹配过程中缺乏考虑邻近直线特征之间关系,纹理断裂处单一直线描述符的弱可靠性,提出了一种顾及拓扑关系的立体影像直线特征可靠匹配算法。该算法首先根据直线间距离、角度等基本拓扑关系对参考影像、搜索影像上提取的直线进行编组;然后将编组得到的直线组作为匹配基元,充分利用直线特征组内的拓扑关系,依次采用核线约束、单应矩阵约束、象限约束、不规则三角形区域灰度相关约束对其进行匹配;最后将同名直线组分裂为两对同名单直线、并对分裂后的结果进行整合、拟合、检核等后处理,得到“一对一”的同名直线。选取典型纹理特征的航空影像和近景影像进行参数分析及直线匹配试验,结果表明,本文算法能获取可靠的直线匹配结果。

关键词: 直线匹配, 直线组匹配, 拓扑关系, 核线约束, 单应矩阵

Abstract:

Because of the lack of relationships between matching line and adjacent lines in the process of individual line matching, and the weak reliability of the individual line descriptor facing on discontinue texture, this paper presents a reliable line matching algorithm for stereo images with topological relationship. The algorithm firstly generates grouped line pairs from lines extracted from the reference image and searching image according to the basic topological relationships such as distance and angle between the lines. Then it takes the grouped line pairs as matching primitives, and matches these grouped line pairs by using epipolar constraint, homography constraint, quadrant constraint and gray correlation constraint of irregular triangle in order. And finally, it resolves the corresponding line pairs into two pairs of corresponding individual lines, and obtains one to one matching results after the post-processing of integrating, fitting, and checking. This paper adopts digital aerial images and close-range images with typical texture features to deal with the parameter analysis and line matching, and the experiment results demonstrate that the proposed algorithm in this paper can obtain reliable line matching results.

Key words: line matching, pair-wise line matching, topological relations, epipolar constraint, homography

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