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。
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.
作者
张春森
张奇源
郭丙轩
薛万唱
ZHANG Chunsen;ZHANG Qiyuan;GUO Bingxuan;XUE Wanchang(College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China;State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China)
出处
《测绘学报》
EI
CSCD
北大核心
2020年第1期108-116,共9页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金重大研究计划(91638203)
国家自然科学基金(91738301)
陕西省自然科学基金(2018JM5103)~~
关键词
倾斜影像匹配
最小二乘
单应矩阵
自适应物方面元
oblique image matching
least-square
homograph matrix
adaptive initial object patch