000			01739nam a22002417a 4500
003			ZW-GwMSU
005			20221207123044.0
008			221207b |||||||| |||| 00| 0 eng d
040			_aMSU _cMSU _erda
100	1		_a Zhang, Ling _eauthor
245	1	0	_aAutomatic drainage pattern recognition in river networks _ccreated by Ling Zhang & Eric Guilbert
264			_aHong Kong: _bTaylor and Francis , _c2013.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_vVolume , number ,
520			_aIn 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.
650			_ariver network
650			_adrainage pattern
650			_aterrain analysis
856			_uhttps://doi.org/10.1080/13658816.2013.802794
942			_2lcc _cJA
999			_c160715 _d160715