Share Email Print

Proceedings Paper

A new least squares adjustment method for map conflation
Author(s): Susu Deng; Xiaohua Tong
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Digital map conflation is a methodology to reconcile discrepancies between two datasets to get a new and consistent dataset. The new dataset may have high positional accuracy or rich attributes. Conflating urban maps needs to reconcile coordinate discrepancies and simultaneously preserve some characteristics of features. This should depend on various departments' requirements. This paper introduces an least square adjustment approach for map conflation. It regards those demands as different observations and applies parameter adjustment method to solve the equation system. This method is tested on some maps and compared with other popular methods. The test results show that this approach can bring about good result on positioning features and has an excellent ability to maintain characteristics of features.

Paper Details

Date Published: 28 October 2006
PDF: 12 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64201B (28 October 2006); doi: 10.1117/12.712989
Show Author Affiliations
Susu Deng, Tongji Univ. (China)
Xiaohua Tong, Tongji Univ. (China)

Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?