3D Road Network Extraction Method Based on UAV Oblique Photography

被引：0
|
作者：
Li L. [1 ]
机构：
[1] School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Hubei
来源：
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2019年 / 32卷 / 11期
关键词：
3D road network; Oblique photography; Remote sensing; Road extraction; SVMs; Traffic engineering; UAV;
D O I：
10.19721/j.cnki.1001-7372.2019.11.022
中图分类号：
学科分类号：
摘要：
Three-dimensional (3D) road network is an important basic geographical data. Unmanned aerial vehicle (UAV) oblique photography is a fast and efficient method for acquiring surface 3D models, including the road network. Based on the analysis of 3D models and road characteristics, a 3D road network extraction method based on oblique photography of UAVs is proposed. The oblique photography technique and 3D modeling methods of UAVs were analyzed, and an aerial photography strategy and data processing flow for the extraction of 3D road network were designed. The composition of the real 3D model was analyzed, and the characteristics of the road in terms of materials, morphology, etc. were presented to establish the features of the 3D model that can be used for road extraction. Taking the triangular facets in the 3D model as objects for processing, a triangular facet segmentation method was developed to eliminate the mixed ground facets. Using the support vector machine method and various features of the patch, road patch recognition was performed. A 3D connection method for road patches and 3D correction method for road edges were designed to connect the patches and for effective correction of the road edges, respectively. Using an area in Beijing as an example for data collection, 3D models were constructed and a 3D road network was extracted. The process of oblique photography, control points, and verification points for data collection, and the related 3D model were introduced. The road network extraction experiment was conducted using the proposed method, and the results were evaluated from both qualitative as well as quantitative perspectives. The experimental results indicate that the proposed method can effectively extract road network information from 3D models obtained via oblique photography, and its plane and elevation accuracy satisfy the requirements of general navigation and other applications. © 2019, Editorial Department of China Journal of Highway and Transport. All right reserved.
引用
收藏
页码：219 / 226and254
相关论文
共 21 条
  • [1] Wang F.-P., Wang W.-X., Xue B.-Y., Et al., Road Extraction from High-spatial-resolution Remote Sensing Image by Combining GVF Snake with Salient Features, Acta Geodaetiaca et Cartographic Sinica, 46, 12, pp. 1978-1985, (2017)
  • [2] Zhou W., Guan H.-J., Road Extraction based on Hough Transform of Chinese High Resolution Remote Sensing Image, Journal of PLA University of Science and Technology: Natural Science Edition, 12, 8, pp. 1-7, (2017)
  • [3] Chu H., Li H.-C., Liu H.-B., Road Extraction of Remote Sensing Imagery Using G Statistics of Object Histogram, Bulletin of Surveying and Mapping, 12, pp. 63-67, (2017)
  • [4] Hu C.-Y., Wang R.-Y., Zhang J.-H., Et al., Forest Road Extraction Based on Airborne LiDAR, Engineering of Surveying and Mapping, 26, 12, (2017)
  • [5] Wu X.-Q., Ning J.-S., Yang F., Road Surface Data Extraction Based on Mobile Laser Scanning Data Classification, Bulletin of Surveying and Mapping, 2, pp. 107-110, (2018)
  • [6] Geng X.-P., Wang B., Ma J.-T., Et al., Research on the Application of Unmanned Aerial Vehicle Tiled Photogrammetric Technique in Bridge Construction Field, Modern Surveying and Mapping, 40, 4, pp. 28-31, (2017)
  • [7] Shen Z.-Q., Wei P.-F., Dong C.-H., Et al., Research and Application of Road Reconstruction Based on BIM Technology, Journal of Chang'an University: Social Science Edition, 19, 6, pp. 43-53, (2017)
  • [8] Huang Q., Dai C., Zhang J.-H., Et al., Application of Oblique Photography in Highway Survey and Design, Highway, 63, 3, pp. 170-174, (2018)
  • [9] Xu S.-Q., Huang X.-F., Zhang F., Et al., Oblique Photogrammetric Technique Applied in Surveying and Mapping Large-scale Topographic Map, Bulletin of Surveying and Mapping, 2, pp. 111-115, (2018)
  • [10] Wei G.-W., Wang Q., Zhang Y.-Y., Et al., The Extraction Method of High Resolution Remote Sensing Image Based on Road Comprehensive Feature, Bulletin of Surveying and Mapping, 8, pp. 31-35, (2017)
123