测绘学报 ›› 2020, Vol. 49 ›› Issue (1): 108-116.doi: 10.11947/j.AGCS.2020.20190050

• 摄影测量学与遥感 • 上一篇    下一篇

倾斜影像自适应初始物方面元优化匹配算法

张春森1, 张奇源1, 郭丙轩2, 薛万唱2   

  1. 1. 西安科技大学测绘科学与技术学院, 陕西 西安 710054;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
  • 收稿日期:2019-01-28 修回日期:2019-08-02 发布日期:2020-01-16
  • 作者简介:张春森(1963-),男,博士,教授,研究方向为数字摄影测量计算机视觉与遥感应用。E-mail:zhchunsen@aliyun.com
  • 基金资助:
    国家自然科学基金重大研究计划(91638203);陕西省自然科学基金(2018JM5103);国家自然科学基金(91738301)

Oblique image matching algorithm based on adaptive initial object patch

ZHANG Chunsen1, ZHANG Qiyuan1, GUO Bingxuan2, XUE Wanchang2   

  1. 1. College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping&Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2019-01-28 Revised:2019-08-02 Published:2020-01-16
  • Supported by:
    The Major Research Plan of the National Natural Science Foundation of China(No.91638203 );The Natural Science Foundation of Shaanxi Province (No. 2018JM5103);The National Natural Science Foundation of China (No.91738301)

摘要: 采用基于物方面元的最小二乘影像匹配方法匹配倾斜影像时,常出现深度不连续或高差较大区域影像连接点度数低或空三点过少问题。针对此问题,本文提出一种基于自适应初始物方面元的倾斜影像匹配算法。算法利用倾斜影像已有的初始内外方位元素及匹配过程中产生的物点信息,采用多片前方交会和物方差分的方法自适应计算物方面元的高程及法向量方向角初值,进而解决采用物方面元最小二乘影像匹配方法匹配地物高差较大区域的倾斜影像时,因初值不准导致在像方匹配同名点困难的问题。分别采用本文算法和物方面元初始状态为水平面元的最小二乘影像匹配方法对两组倾斜影像进行对比匹配验证。试验结果证明了本文算法的有效性。

关键词: 倾斜影像匹配, 最小二乘, 单应矩阵, 自适应物方面元

Abstract: In order to solve the problem of low degree of image connection points and too few aero triangulation points with large depth discontinuity or difference when using the least square image matching method based on object patch to match oblique images, an algorithm of oblique image matching based on adaptive initial object patch is proposed. The algorithm uses the initial values of interior and exterior orientation elements of the oblique image and the object points generated in the matching process, and adaptively calculates the elevation of the object patch and the initial value of the normal vector direction angle by the method of multi-patch forward intersection and object variance partition. Then it solves the problem that the low accuracy initial value of the oblique image with the least squares image matching method of the object patch is not easily matched to corresponding points when matching the oblique image. Finally, two groups of oblique images are matched by the proposed method and the least square image matching method, in which the initial state of the object patch is horizontal object patch, respectively, to verify the effectiveness of the proposed method.

Key words: oblique image matching, least-square, homograph matrix, adaptive initial object patch

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