Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80055
Title: A quality assessment method for 3D road polygon objects
Authors: Gao L 
Shi, W 
Wan Y 
Keywords: 3d road polygon
Lidar
Quality assessment
Quality element
Issue Date: 2015
Publisher: Copernicus GmbH
Source: International archives of the photogrammetry, remote sensing and spatial information sciences, 2015, v. 40, no. 3W3, p. 45-49 How to cite?
Journal: International archives of the photogrammetry, remote sensing and spatial information sciences 
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.
Description: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015, 28-3 October 2015
URI: http://hdl.handle.net/10397/80055
ISSN: 1682-1750
EISSN: 2194-9034
DOI: 10.5194/isprsarchives-XL-3-W3-45-2015
Rights: © Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License (https://creativecommons.org/licenses/by/3.0/).
The following publication Gao, L., Shi, W. & Wan, Y. (2015). A quality assessment method for 3D road polygon objects. International archives of the photogrammetry, remote sensing and spatial information sciences, 2015, v. 40, no. 3W3, p. 45-49 is available at https://dx.doi.org/10.5194/isprsarchives-XL-3-W3-45-2015
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