Improvement of cadastral map assembling based on GHT

Fei Liu, Wataru Oyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. We present an automatic solution based on the generalized Hough transformation that detects the common longest boundary between every piece and its neighbors. And we present a high-speed technique for the cadastral map assembling by the segment reduction. The results of the experiment with the French cadastral maps show that the proposed method is suitable for assembling the cadastral map.

Original languageEnglish
Title of host publicationProceedings of IAPR Conference on Machine Vision Applications, MVA 2007
Pages571-574
Number of pages4
Publication statusPublished - Dec 1 2007
Externally publishedYes
Event10th IAPR Conference on Machine Vision Applications, MVA 2007 - Tokyo, Japan
Duration: May 16 2007May 18 2007

Other

Other10th IAPR Conference on Machine Vision Applications, MVA 2007
CountryJapan
CityTokyo
Period5/16/075/18/07

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Liu, F., Oyama, W., Wakabayashi, T., & Kimura, F. (2007). Improvement of cadastral map assembling based on GHT. In Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007 (pp. 571-574)