Ridge detection with the steepest ascent method

Shinji Koka*, Koichi Anada, Kenshi Nomaki, Kimio Sugita, Kensei Tsuchida, Takeo Yaku


研究成果: Conference article査読

16 被引用数 (Scopus)


We propose a new method to detect ridges from digital elevation map (DEM) data. We call it "the steepest ascent method" which is based on steepest ascent lines obtained by selecting the maximum inclined direction from eight neighbors. Then ridge lines are extracted by their steepest ascent lines on a surface. In this paper it is shown that our method is able to detect ridge lines sharply. Besides we claim that our algorithm is simple and suitable for huge area such as the entire area of Japan. Finally, we give the ridge detected terrain map of the entire area of Japan and Korea by applying "the steepest ascent method".

ジャーナルProcedia Computer Science
出版ステータスPublished - 2011
イベント11th International Conference on Computational Science, ICCS 2011 - Singapore, Singapore
継続期間: 2011 6月 12011 6月 3

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)


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