同名点及高程平面约束的航空影像直线匹配算法

doi:10.11947/j.AGCS.2016.20140527

测绘学报 ›› 2016, Vol. 45 ›› Issue (1): 87-95.doi: 10.11947/j.AGCS.2016.20140527

同名点及高程平面约束的航空影像直线匹配算法

王竞雪¹, 宋伟东¹, 王伟玺²

1. 辽宁工程技术大学测绘与地理科学学院, 辽宁阜新 123000;
2. 深圳市数字城市工程研究中心, 广东深圳 518040

收稿日期:2014-10-21 修回日期:2015-08-03 出版日期:2016-01-20 发布日期:2016-01-28
作者简介:王竞雪(1981—),女,博士,讲师,研究方向为遥感图像处理与应用。
基金资助:
国家自然科学基金(41101452; 41201454);高等学校博士学科点专项科研基金(20112121120003)

Line Matching Algorithm for Aerial Image Based on Corresponding Points and Z-plane Constraints

WANG Jingxue¹, SONG Weidong¹, WANG Weixi²

1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
2. Shenzhen Research Center of Digital City Engineering, Shenzhen 518040, China

Received:2014-10-21 Revised:2015-08-03 Online:2016-01-20 Published:2016-01-28
Supported by:
The National Natural Science Foundation of China(Nos. 41101452;41201454);The Doctoral Program Foundation of Institutions of Higher Education of China(No.20112121120003)

摘要/Abstract

摘要： 针对直线匹配的难点问题及匹配约束的有效性,提出了同名点及高程平面约束的航空影像直线匹配算法。该算法在边缘点匹配结果和直线提取结果的基础上,首先利用直线邻域内的同名点确定候选直线及直线投影平面的高程值,再结合物方和像方相似性约束确定同名直线;然后根据直线索引对“一配多”的匹配结果进行整合,并对结果中的多直线进行合并,得到“一对一”的同名直线;最后利用“像方-物方-像方”的映射模式确定同名直线的同名端点。论文选取典型纹理特征的航空影像进行直线匹配试验,结果表明,本文算法能获得可靠的直线匹配结果。

关键词: 直线匹配, 匹配约束, 高程平面约束, 航空影像

Abstract: Aiming at the problem of line matching and the effectiveness of matching constraints, this paper presents one new line matching algorithm based on corresponding points and Z-plane constraints. Based on the edge points matching results and the line extraction results, the algorithm firstly determines the candidate lines by corresponding points in neighborhoods of lines, also the elevation values of line projection planes, and then obtains the corresponding lines with the similarity constraint between object space and image space. Secondly, it integrates the matching results of “one-to-many” relationship according to the line indexes and merges those into one line, and then translates the matching results into “one-to-one” relationship. Finally, it determines the corresponding endpoints of corresponding lines by using “image-object-image” mapping mode. In the experiments, this paper adopts digital aerial images with classic texture features for line matching, and the experiment results demonstrate that the proposed algorithm in this paper can obtain reliable line matching results.

Key words: line matching, matching constraint, Z-plane constraint, aerial image

中图分类号:

P237

王竞雪, 宋伟东, 王伟玺. 同名点及高程平面约束的航空影像直线匹配算法[J]. 测绘学报, 2016, 45(1): 87-95.

WANG Jingxue, SONG Weidong, WANG Weixi. Line Matching Algorithm for Aerial Image Based on Corresponding Points and Z-plane Constraints[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(1): 87-95.

参考文献

[1] 戴激光, 宋伟东, 贾永红, 等. 一种新的异源高分辨率光学卫星遥感影像自动匹配算法[J]. 测绘学报, 2013, 42(1): 80-86. DAI Jiguang, SONG Weidong, JIA Yonghong, et al. A New Automatically Matching Algorithm for Multi-source High Resolution Optical Satellite Images[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(1): 80-86.
[2] 戴激光, 宋伟东, 李玉. 渐进式异源光学卫星影像SIFT匹配方法[J]. 测绘学报, 2014, 43(7): 746-752. DAI Jiguang, SONG Weidong, LI Yu. Progressive SIFT Matching Algorithm for Multi-source Optical Satellite Images[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(7): 746-752.
[3] 袁修孝, 明洋. 一种综合利用像方和物方信息的多影像匹配方法[J]. 测绘学报, 2009, 38(3): 216-222. YUAN Xiuxiao, MING Yang. A Novel Method of Multi-image Matching Using Image and Space Synthesis Information[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(3): 216-222.
[4] 姚国标, 邓喀中, 张力, 等. 融合互补仿射不变特征的倾斜立体影像高精度自动配准方法[J]. 测绘学报, 2013, 42(6): 869-876, 883. YAO Guobiao, DENG Kazhong, ZHANG Li, et al. An Automated Registration Method with High Accuracy for Oblique Stereo Images Based on Complementary Affine Invariant Features[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(6): 869-876, 883.
[5] ZHANG Li. Automatic Digital Surface Model (DSM) Generation from Linear Array Images[D]. Wuhan: Wuhan University, 2005.
[6] 纪松. 线阵影像多视匹配自动提取DSM的理论与方法[D]. 郑州: 解放军信息工程大学, 2008. JI Song. Multi-View Matching Theories and Methods for Automatic DSM Extraction from Linear Array Images[D]. Zhengzhou: PLA Information Engineering University, 2008.
[7] KIM H,LEE S. Simultaneous Line Matching and Epipolar Geometry Estimation Based on the Intersection Context of Coplanar Line Pairs[J]. Pattern Recognition Letters, 2012, 33(10): 1349-1363.
[8] 文贡坚. 一种基于特征编组的直线立体匹配全局算法[J]. 软件学报, 2006, 17(12): 2471-2484. WEN Gongjian. A Global Algorithm for Straight Line Stereo Matching Based on Feature Grouping[J]. Journal of Software, 2006, 17(12): 2471-2484.
[9] SCHMID C,ZISSERMAN A.The Geometry and Matching of Lines and Curves over Multiple Views[J]. International Journal of Computer Vision, 2000, 40(3): 199-233.
[10] 江万寿. 航空影像多视匹配与规则建筑物自动提取方法研究[D]. 武汉: 武汉大学, 2004. JIANG Wanshou. Multiple Aerial Image Matching and Automatic Building Detection[D]. Wuhan: Wuhan University, 2004.
[11] 刘亚文. 基于TIN的半自动多影像同名线段匹配算法研究[J]. 武汉大学学报(信息科学版), 2004, 29(4): 342-345. LIU Yawen.A Semi-automatic Algorithm for Line Matching Based on Delaunay Triangulation[J]. Geomatics and Information Science of Wuhan University, 2004, 29(4): 342-345.
[12] WU Bo, ZHANG Yunsheng, ZHU Qing. Integrated Point and Edge Matching on Poor Textural Images Constrained by Self-adaptive Triangulations[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 68: 40-55.
[13] 张云生. 自适应三角形约束的多基元多视影像匹配方法[D]. 武汉: 武汉大学, 2011. ZHANG Yunsheng. A Multi-primitive and Multi-view Image Matching Method Based on Self-adaptive Triangle Constraint[D]. Wuhan: Wuhan University, 2011.
[14] FAN Bin, WU Fuchao, HU Zhanyi. Line Matching Leveraged By Point Correspondences[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, CA: IEEE, 2010: 390-397.
[15] TIAN Yixiang, GERKE M, VOSSELMAN G, et al. Automatic Edge Matching Across an Image Sequence Based on Reliable Points[C]//Proceedings of the XXI Congress: Silk Road for Information from Imagery. Beijing: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, 37: 657-662.
[16] 梁艳, 盛业华, 张卡, 等. 利用局部仿射不变及核线约束的近景影像直线特征匹配[J]. 武汉大学学报(信息科学版), 2014, 39(2): 229-233. LIANG Yan, SHENG Yehua, ZHANG Ka, et al. Linear Feature Matching Method based on Local Affine Invariant and Epipolar Constraint for Close-Range Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2): 229-233.
[17] 李芳芳, 贾永红, 肖本林, 等. 利用线特征和SIFT点特征进行多源遥感影像配准[J]. 武汉大学学报(信息科学版), 2010, 35(2): 233-236. LI Fangfang, JIA Yonghong, XIAO Benlin,et al.A Multi-sensor Image Registration Algorithm Based on Line Features and SIFT Points[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 233-236.
[18] 张云生, 朱庆, 吴波, 等. 一种基于三角网约束的立体影像线特征多级匹配方法[J]. 武汉大学学报(信息科学版), 2013, 38(5): 522-527. ZHANG Yunsheng, ZHU Qing, WU Bo, et al. A Hierarchical Stereo Line Matching Method Based on a Triangle Constraint[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 522-527.
[19] 王竞雪, 宋伟东, 王伟玺. 移动高程平面约束的多视影像特征点匹配[J]. 遥感学报, 2012, 16(4): 691-704. WANG Jingxue, SONG Weidong,WANG Weixi.A Multi-view Image Matching Algorithm for Feature Point under the Moving Z-Plane Constraint[J]. Journal of Remote Sensing, 2012, 16(4): 691-704.
[20] 王竞雪, 朱庆, 王伟玺. 多匹配基元集成的多视影像密集匹配方法[J]. 测绘学报, 2013, 42(5): 691-698. WANG Jingxue, ZHU Qing, WANG Weixi. A Dense Matching Algorithm of Multi-View Image Based on the Integrated Multiple Matching Primitives[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(5): 691-698.

同名点及高程平面约束的航空影像直线匹配算法

Line Matching Algorithm for Aerial Image Based on Corresponding Points and Z-plane Constraints

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 14

编辑推荐

Metrics

本文评价

[1]	金飞, 官恺, 刘智, 韩佳容, 芮杰, 李庆高. 无监督密集匹配特征提取网络性能分析[J]. 测绘学报, 2022, 51(3): 426-436.
[2]	王竞雪, 刘肃艳, 王伟玺. 联合共线约束与匹配冗余的组直线匹配结果检核算法[J]. 测绘学报, 2020, 49(6): 746-756.
[3]	刘瑾, 季顺平. 基于深度学习的航空遥感影像密集匹配[J]. 测绘学报, 2019, 48(9): 1141-1150.
[4]	伍广明, 陈奇, Ryosuke SHIBASAKI, 郭直灵, 邵肖伟, 许永伟. 基于U型卷积神经网络的航空影像建筑物检测[J]. 测绘学报, 2018, 47(6): 864-872.
[5]	欧阳欢, 范大昭, 纪松, 雷蓉. 结合离散化描述与同名点约束的线特征匹配[J]. 测绘学报, 2018, 47(10): 1363-1371.
[6]	何曼芸, 程英蕾, 邱浪波, 赵中阳. 一种改进顶帽变换与LBP高程纹理的城区建筑物提取算法[J]. 测绘学报, 2017, 46(9): 1116-1122.
[7]	王竞雪, 朱庆, 王伟玺. 顾及拓扑关系的立体影像直线特征可靠匹配算法[J]. 测绘学报, 2017, 46(11): 1850-1858.
[8]	赵爽, 李学军, 刘涛, 谢剑薇. 基于大比例尺航空影像共面约束条件的相机自检校方法[J]. 测绘学报, 2017, 46(1): 98-106.
[9]	肖雄武, 郭丙轩, 李德仁, 赵霞, 江万寿, 胡翰, 张春森. 一种具有仿射不变性的倾斜影像快速匹配方法[J]. 测绘学报, 2015, 44(4): 414-421.
[10]	张永军熊小东王梦秋鲁一慧. 机载激光雷达点云与定位定姿系统数据辅助的航空影像自动匹配方法[J]. 测绘学报, 2014, 43(4): 380-388.
[11]	孙颖张新长康停军赵小阳张维. 改进GAC模型在点云和影像自动提取建筑物边界中的应用[J]. , 2013, 42(3): 0-0.
[12]	李畅. 城市街道立面自动重建关键技术研究[J]. 测绘学报, 2011, 40(2): 268-268.
[13]	程亮,龚健雅,李满春. 集成多视航空影像与LiDAR数据重建三维建筑物模型[J]. 测绘学报, 2009, 38(6): 0-501.
[14]	虞欣. 贝叶斯网络在航空影像纹理分类中的应用研究[J]. 测绘学报, 2009, 38(4): 0-310.