A quality assessment method for 3D road polygon objects

Lipeng Gao, Wen Zhong Shi, Yiliang Wan

Research output: Journal article publicationConference articleAcademic researchpeer-review

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.
Original languageEnglish
Pages (from-to)45-49
Number of pages5
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume40
Issue number3W3
DOIs
Publication statusPublished - 1 Jan 2015
EventInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015 - La Grande Motte, France
Duration: 28 Sep 20153 Oct 2015

Keywords

  • 3d road polygon
  • Lidar
  • Quality assessment
  • Quality element

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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