Automatic drainage pattern recognition in river networks

Authors: Zhang, Ling; Guilbert, Eric
Abstract: In both geographic information system and terrain analysis, drainage systems are important components. Owing to local topography and subsurface geology, a drainage system achieves a particular drainage pattern based on the form and texture of its network of stream channels and tributaries. Although research has been done on the description of drainage patterns in geography and hydrology, automatic drainage pattern recognition in river networks is not well developed. This article introduces a new method for automatic classification of drainage systems in different patterns. The method applies to river networks, and the terrain model is not required in the process. A series of geometric indicators describing each pattern are introduced. Network classification is based on fuzzy set theory. For each pattern, the level of membership of the network is given by the different indicator values. The method was implemented, and the experimental results are presented and discussed.
Document Type: Article de recherche
Issue Date: 25 June 2013
Open Access Date: 12 October 2016
Document version: AM
Permalink: http://hdl.handle.net/20.500.11794/11149
This document was published in: International Journal of Geographical Information Science, Vol. 27 (12), 2319–2342 (2013)
https://doi.org/10.1080/13658816.2013.802794
Taylor & Francis
Alternative version: 10.1080/13658816.2013.802794
Collection:Articles publiés dans des revues avec comité de lecture

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