A comparison of ridge detection methods for DEM data

Shinji Koka*, Koichi Anada, Yasunori Nakayama, Kimio Sugita, Takeo Yaku, Ryusuke Yokoyama

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

We deal with ridge detection methods from digital elevation map (DEM) data. As ridge detection methods, the O (N) -time steepest ascent method and the O (N) -time discrete Lap lace transform (D.L.T.) method are known, where N is the number of cells. However, the D.L.T. method is too blurry to form ridge lines. In this paper, we introduce a 12 neighbor D.L.T. method which is a modification of the 4 neighbor D.L.T. method. And we also introduce another ridge detection method by the classification of local shapes around each cell. We can consider 32 patterns for ridges or valleys. Furthermore, we compare and evaluate their ridge detection methods in a certain area. We note that our two methods provide blurry terrain maps, but it require only O (N) -time for N cells, in comparison with the steepest ascent method.

本文言語English
ホスト出版物のタイトルProceedings - 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012
ページ513-517
ページ数5
DOI
出版ステータスPublished - 2012 11 12
イベント13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012 - Kyoto, Japan
継続期間: 2012 8 82012 8 10

出版物シリーズ

名前Proceedings - 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012

Conference

Conference13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012
国/地域Japan
CityKyoto
Period12/8/812/8/10

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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