Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency

Ka ZHANG; Ye-hua SHENG; Su-xia FU; Jia-ming YUAN; Hui CHEN

doi:10.3788/OPE.20182607.1784

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Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency

Information Sciences | 更新时间：2020-08-13

- Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency
- Optics and Precision Engineering Vol. 26, Issue 7, Pages: 1784-1793(2018)
- 作者机构：
  
  1.南京师范大学虚拟地理环境教育部重点实验室, 江苏南京 210023
  2.江苏省地理环境演化国家重点实验室培育建设点, 江苏南京 210023
  3.江苏省地理信息资源开发与利用协同创新中心, 江苏南京 210023
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20182607.1784
  CLC： TB853.29
- Received：23 November 2017，
  
  Accepted：03 February 2018，
  
  Published：25 July 2018
- 稿件说明：
移动端阅览
Ka ZHANG, Ye-hua SHENG, Su-xia FU, et al. Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency[J]. Optics and precision engineering, 2018, 26(7): 1784-1793.
DOI：

Ka ZHANG, Ye-hua SHENG, Su-xia FU, et al. Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency[J]. Optics and precision engineering, 2018, 26(7): 1784-1793. DOI： 10.3788/OPE.20182607.1784.

摘要

针对传统铅垂线轨迹匹配方法在进行地面基元匹配时存在只能得到一个高程值且匹配结果缺乏准确性验证的缺点，本文提出了一种新的基于物方定位一致性约束的光学航空影像多视铅垂线轨迹匹配方法。该算法对传统铅垂线轨迹匹配方法进行了针对性的改进，首先，改善了物方地面基元的像方多视匹配过程，其次，利用地面基元已有的物方平面坐标作为物方定位一致性约束条件，增加了多视匹配结果的准确性检验过程，从而得到可验证的地面元匹配结果。使用实际航空多视影像对本文算法与传统铅垂线轨迹方法进行了对比实验，实验结果显示本文方法在可靠性、准确性和算法效率等定量指标方面，比传统铅垂线轨迹方法分别高出26%、40%和4倍，证明其能得到更加可靠与有效的地面元匹配结果。

Abstract

The use of the traditional Vertical Line Locus (TVLL) matching method for the multi-view image matching of ground primitives results in the following shortcomings:obtaining one elevation value and the lack of accuracy validation of the matching results. Considering the above shortcomings

this paper proposes a new multi-view VLL matching algorithm for optical aerial images based on the constraint of object space positioning consistency. The proposed algorithm brings about specific improvements to the TVLL method. First

it improves the image space multi-view matching process of the object space ground primitive. Second

it uses the known object space plane coordinates of the ground primitive as the constraint of the object space positioning consistency

and improves the accuracy validation process of the multi-view matching results. Thus

it can obtain verifiable matching results of the ground primitive. The proposed algorithm was compared with the TVLL method using actual aerial images. The experimental results show that the quantitative indexes of reliability

accuracy

and computing efficiency for the proposed method are 26%

40%

and 4 times higher than those for the TVLL method. Therefore

the proposed method successfully overcomes the drawbacks of the TVLL method

and obtains a more reliable and effective matching of ground primitives.

关键词

Keywords

references

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