Remote Sens. 2009, 1(3), 197-209; doi:10.3390/rs1030197

Canscan — An Algorithm for Automatic Extraction of Canyons

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Received: 14 May 2009; in revised form: 22 June 2009 / Accepted: 23 June 2009 / Published: 7 July 2009
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This article introduces a novel algorithm for automatic extraction of canyons which was developed in the Department of the Remote Sensing and Land Information Systems at the University of Freiburg (FELIS). The algorithm detects canyons by means of user-defined dimension parameters and elevation information provided in a Digital Terrain Model (DTM). The extraction procedure is based on the geometric interpretation of canyons through which the input dimension parameters are identified. The dimension parameters are used for identifying cross-sections across DTM on the basis of which canyons are extracted. In addition to the detailed description of the extraction algorithm, this paper includes the results obtained in test regions as well as a thorough discussion.
Keywords: automatic extraction; canyons; DTM; LIDAR
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MDPI and ACS Style

Balic, N.; Koch, B. Canscan — An Algorithm for Automatic Extraction of Canyons. Remote Sens. 2009, 1, 197-209.

AMA Style

Balic N, Koch B. Canscan — An Algorithm for Automatic Extraction of Canyons. Remote Sensing. 2009; 1(3):197-209.

Chicago/Turabian Style

Balic, Nebojsa; Koch, Barbara. 2009. "Canscan — An Algorithm for Automatic Extraction of Canyons." Remote Sens. 1, no. 3: 197-209.

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