Automatic assembling of cadastral maps based on generalized hough transformation

Fei Liu, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

There are numerous cadastral maps generated by past land surveying. The raster digitization of these paper maps is in progress. 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. The problem can be seen as a complex jigsaw puzzle where the pieces are the cadastre sections extracted from the map. We present an automatic solution to this geographic jigsaw puzzle, based on the generalized Hough transformation that detects the longest common boundary between every piece and its neighbors. The experiments have been conducted using the map of Mie Prefecture, Japan and the French cadastral map. The results of the experiment with the French cadastral maps show that the proposed method, which consists of extracting an external area and extracting and regularizing the north arrow, is suitable for assembling the cadastral map. The final goal of the process is to integrate every piece of the puzzle into a national geographic reference frame and database.

本文言語英語
ホスト出版物のタイトルDocument Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings
出版社Springer Verlag
ページ593-603
ページ数11
ISBN(印刷版)3540321403, 9783540321408
DOI
出版ステータス出版済み - 1 1 2006
イベント7th International Workshop on Document Analysis Systems, DAS 2006 - Nelson, ニュージ―ランド
継続期間: 2 13 20062 15 2006

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3872 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他7th International Workshop on Document Analysis Systems, DAS 2006
Countryニュージ―ランド
CityNelson
Period2/13/062/15/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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