The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-3/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 45–49, 2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 45–49, 2015

  19 Aug 2015

19 Aug 2015


L. Gao1,2, W. Shi2, and Y. Wan1,2 L. Gao et al.
  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
  • 2Joint Spatial Information Research Laboratory, The Hong Kong Polytechnic University and Wuhan University, Hong Kong and Wuhan, China

Keywords: Quality Assessment; Quality Element; 3D Road Polygon; LiDAR

Abstract. With the development of the economy, the fast and accurate extraction of the city road is significant for GIS data collection and update, remote sensing images interpretation, mapping and spatial database updating etc. 3D GIS has attracted more and more attentions from academics, industries and governments with the increase of requirements for interoperability and integration of different sources of data. The quality of 3D geographic objects is very important for spatial analysis and decision-making. This paper presents a method for the quality assessment of the 3D road polygon objects which is created by integrating 2D Road Polygon data with LiDAR point cloud and other height information such as Spot Height data in Hong Kong Island. The quality of the created 3D road polygon data set is evaluated by the vertical accuracy, geometric and attribute accuracy, connectivity error, undulation error and completeness error and the final results are presented.