Urban Parts Survey Methodology Based on Multi-level Positioning Grid of Spatial Information

DOI

10.2991/rsete.2013.202How to use a DOI?

Keywords

Urban parts survey, Digital Orthophoto Map, Remote sensing image, Digital Line Graphic, nine-rectangle-grid

Abstract

Urban parts database is infrastructure of digital urban management. To build urban parts database, investigation of urban management parts is nevertheless inevitable. The normal methods of survey include EDM (Electronic Distance Measuring Device) measurements, RTK and the CORS system measurement method. The location information of urban parts is obtained by expensive precision measuring instruments. Usually, the investigators have professional experiences of surveying and mapping. Due to cost on precision measuring instruments and training expenses, the survey methods will spend a lot of manpower, material and financial resources. However, the city management staff, responsible for inspections of components and events, with complex background is lack of knowledge of professional surveying and mapping. Thus, a simple, clear and accurate positioning method is needed which be able to comply with the basic requirements of the ordinary inspector. To meet the requirement, a new survey method is proposed in this paper. The method is based on the multi-level positioning grid of spatial information. The location information can be obtained quickly and accurately by integration of digital orthophoto map (DOM) and adaptive nine-tree multi-level spatial information grid. The integrated grid map can be displayed on the mini terminal, or be output to paper maps. The basic expression principles of map making are described. The accuracy of positioning is analyzed and the result is described. The practice shows that using this survey method could achieve the accuracy requirements of the urban parts management. The method is simple, easy to use and low operational costs.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yin-cui Hu
AU  - Kun Wang
AU  - Ming-yang Liu
AU  - Dong-li Gu
AU  - Dan-lu Xing
AU  - Hai-li Song
AU  - Song Su
AU  - Yi-miao Liu
PY  - 2013/08
DA  - 2013/08
TI  - Urban Parts Survey Methodology Based on Multi-level Positioning Grid of Spatial Information
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 833
EP  - 836
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.202
DO  - 10.2991/rsete.2013.202
ID  - Hu2013/08
ER  -