Vector Data Acquisition Methods Based on the Spatial Data Sensitive Crawler

DOI

10.2991/rsete.2013.63How to use a DOI?

Keywords

Spatial Data Sensitive Crawler; Vector Data; Defect Reduction Model; Measure of Confidence Level

Abstract

This paper discussed the expression of vector data under the Web environment, introduced a spatial data sensitive crawler (SDSC), and tested the novel technique to collect vector data in real cases. Furthermore, a defect reduction model has been improved so that the level of confidence of different vector data can be measured more accurately. The results of experiments show that the data collected by SDSC have a relatively higher credibility.

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/).

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TY  - CONF
AU  - Mingjun Wang
AU  - Mengjun Kang
AU  - Qingyun Du
PY  - 2013/08
DA  - 2013/08
TI  - Vector Data Acquisition Methods Based on the Spatial Data Sensitive Crawler
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 256
EP  - 259
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.63
DO  - 10.2991/rsete.2013.63
ID  - Wang2013/08
ER  -