测绘学报 ›› 2019, Vol. 48 ›› Issue (9): 1129-1140.doi: 10.11947/j.AGCS.2019.20180266
陈敏1, 朱庆1, 何海清2, 严少华1, 赵怡涛1
收稿日期:
2018-06-08
修回日期:
2019-01-23
出版日期:
2019-09-20
发布日期:
2019-09-25
作者简介:
陈敏(1986-),男,博士,副教授,研究方向为多源遥感影像处理与分析。
基金资助:
CHEN Min1, ZHU Qing1, HE Haiqing2, YAN Shaohua1, ZHAO Yitao1
Received:
2018-06-08
Revised:
2019-01-23
Online:
2019-09-20
Published:
2019-09-25
Supported by:
摘要: 提出一种基于结构自适应特征的城区宽基线影像特征点匹配方法。首先,对影像提取点特征和直线特征,挖掘点特征与其邻域内直线特征之间的几何关系,构建结构自适应的特征区域和特征描述符,并通过双向匹配策略获得初始匹配结果。然后,基于初匹配结果估计影像基础矩阵,构建核线约束的结构自适应特征匹配算法进行二次匹配。最后,将已匹配特征作为控制基础设计匹配扩展算法,进一步增加匹配点数量。本文方法以特征点邻域几何结构为出发点,构建自适应的特征区域,能够在显著的影像视角变化下,为同名特征点提取影像内容一致的特征区域,进而获得相似的特征描述符。试验结果证明,与传统算法相比,本文方法在城区宽基线影像上能够同时获得更多的正确匹配特征和更高的匹配正确率。
中图分类号:
陈敏, 朱庆, 何海清, 严少华, 赵怡涛. 面向城区宽基线立体像对视角变化的结构自适应特征点匹配[J]. 测绘学报, 2019, 48(9): 1129-1140.
CHEN Min, ZHU Qing, HE Haiqing, YAN Shaohua, ZHAO Yitao. Structureadaptive feature point matching for urban area wide-baseline images with viewpoint variation[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(9): 1129-1140.
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