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

Canscan — An Algorithm for Automatic Extraction of Canyons

Institute for Remote Sensing and Landscape Information Systems, Tennenbacherstr. 4, 79106, Freiburg, Germany
Author to whom correspondence should be addressed.
Received: 14 May 2009 / Revised: 22 June 2009 / Accepted: 23 June 2009 / Published: 7 July 2009
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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. View Full-Text
Keywords: automatic extraction; canyons; DTM; LIDAR automatic extraction; canyons; DTM; LIDAR

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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