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Automatic Extraction of Drainage Networks from DEMs Base on Heuristic Search

机译:基于启发式搜索的DEM排水网络自动提取

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Computer aided automatic Extraction of drainage networks from DEMs can promote the efficiency of regional water resource prospecting and assessment in GIS. Extracting drainage networks from raster DEMs is a necessary requirement in many applications of GIS, and determining surface water flow direction is a fundamental problem. In a raster environment, surface water flow direction of each cell can be directed to the neighboring cell with the steepest downslope drop (The basic D8, deterministic eight-neighbour method), which is inadequate for routing flow over pits and flat areas. Several improved methods are proposed to assign flow direction of pits and flats, which typically use entirely different procedures for processing pits and flats without heuristic information. Being different from others, a method to treat pits and flats is proposed in this paper. The method is based on heuristic search, which can effectively handle both conditions. This method is implemented in Pascal and experiments are carried out on actual DEM data. The experimental results show that this approach are robust, computationally efficient, and avoid many of the problems associated with other methods.
机译:利用计算机自动从DEM中提取排水网络可以提高GIS中区域水资源勘探和评估的效率。在GIS的许多应用中,从栅格DEM中提取排水网络是必不可少的要求,确定地表水流向是一个基本问题。在栅格环境中,每个像元的地表水流方向都可以被引导到具有最陡的下降坡降的相邻像元(基本D8,确定性八邻法),这不足以在坑和平坦区域上进行水流分配。提出了几种改进的方法来指定坑和公寓的流向,这些方法通常使用完全不同的过程来处理坑和公寓,而没有启发式信息。与其他方法不同,本文提出了一种处理坑坑洼地的方法。该方法基于启发式搜索,可以有效地处理这两种情况。该方法在Pascal中实现,并在实际的DEM数据上进行了实验。实验结果表明,该方法是鲁棒的,计算效率高的,并且避免了与其他方法相关的许多问题。

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