Automatic Registration of Mobile Mapping System Lidar Points and Panoramic-Image Sequences by Relative Orientation Model

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI:10.14358/pers.21-00006r2

N. Zhu, Bisheng Yang, Zhen Dong, Chi Chen, Xia Huang, W. Xiao

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引用次数: 3

Abstract

To register mobile mapping system (MMS) lidar points and panoramic-image sequences, a relative orientation model of panoramic images (PROM) is proposed. The PROM is suitable for cases in which attitude or orientation parameters are unknown in the panoramic-image sequence. First, feature points are extracted and matched from panoramic-image pairs using the SURF algorithm. Second, these matched feature points are used to solve the relative attitude parameters in the PROM. Then, combining the PROM with the absolute position and attitude parameters of the initial panoramic image, the MMS lidar points and panoramic-image sequence are registered. Finally, the registration accuracy of the PROM method is assessed using corresponding points manually selected from the MMSlidar points and panoramic-image sequence. The results show that three types of MMSdata sources are registered accurately based on the proposed registration method. Our method transforms the registration of panoramic images and lidar points into image feature-point matching, which is suitable for diverse road scenes compared with existing methods.

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基于相对定向模型的移动测绘系统激光雷达点与全景图像序列的自动配准

为了实现移动地图系统(MMS)激光雷达点与全景图像序列的配准，提出了全景图像的相对定向模型。PROM适用于全景图像序列中姿态或方向参数未知的情况。首先，利用SURF算法从全景图像对中提取特征点并进行匹配;其次，利用这些匹配的特征点求解PROM中的相对姿态参数;然后，结合原始全景图像的绝对位置和姿态参数，对MMS激光雷达点和全景图像序列进行配准。最后，利用从MMSlidar点和全景图像序列中手动选择的对应点来评估PROM方法的配准精度。结果表明，基于该配准方法，三种类型的mms数据源都能得到准确的配准。该方法将全景图像与激光雷达点的配准转化为图像特征点匹配，与现有方法相比，适用于多种道路场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术

CiteScore

1.70

自引率

15.40%

发文量

审稿时长

9 months

期刊介绍： Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.