局部结构约束下的宽基线影像直线特征匹配  

Local structure based line segment matching for wide-baseline images

作　　者：严少华 陈敏 赵怡涛 谭贵红 赵曦 YAN Shaohua;CHEN Min;ZHAO Yitao;TAN Guihong;ZHAO Xi(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,四川成都611756

出　　处：《测绘通报》2020年第5期51-54,共4页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(41631174,41971411,41501492);国家重点研发计划(2016YFB0502603)。

摘　　要：针对宽基线影像视角变化导致现有直线特征匹配方法难以获得可靠匹配结果的问题,本文在局部结构约束下提出了一种对影像视角变化具有较强稳健性的直线特征匹配方法。首先,对影像进行直线特征提取并按照一定的规则进行特征编组;其次,基于直线特征几何结构关系构建视角不变特征区域,计算其特征描述符并进行相似性度量,获取直线特征初始匹配结果;然后,利用初始匹配结果中的直线特征区域顶点坐标关系构建约束条件剔除错误匹配;最后,设计直线特征扩展匹配算法,提高直线特征匹配率。试验结果表明,与传统直线特征匹配算法相比,本文方法在有显著视角变化的宽基线影像之间能够获得更多的同名直线特征和更高的匹配正确率。Aiming at the problem that the variation of wide haseline image view makes it difficult to obtain the raliable matching results by the exisiting linear feature matching methods.A local structure constraint based robust line segment matching method is proposed in this paper for wide-baseline images with viewpoint change.Firstly,extract the line segment in images and grouped according to the rules.Secondly,viewpoint invariant feature region is constructed based on the geometric relationship between line segments,a feature descriptor is computed for each feature region and initial matches are generated by measuring feature descriptor similarity.Then,an outlier elimination method is designed by exploring the relationship of feature region vertices coordinates of the initial matches.Finally,a line segment matching expansion step is proposed to improve matching performance.The experimental results demonstrate that the proposed method performs better than traditional methods for wide-baseline images with large viewpoint change in terms of a large number of correct matches and matching precision.

关 键 词：宽基线影像 直线特征匹配 视角变化 局部结构约束 扩展匹配 

分 类 号：P237[天文地球—摄影测量与遥感]