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Improvement of DEM quality with evaluation of various methods for generating DEM from vectors

机译:通过评估从向量生成DEM的各种方法来提高DEM质量

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Rapid growth of using Digital Elevation Model in diverse scientific fields leads to more sensibility about the quality of data as well as the production methods. The purpose of this research is assessing different methods of DEM generation using existing maps, selecting the best way to reduce the errors, and increasing the confidence level. Therefore, to produce the finest Digital Elevation Model two important factors have been regarded; the input data and the model construction techniques. This research includes assessing the input data, the model structure, and interpolation. In this study, digital maps at scale 1:25000 have been used and evaluated for generating DEM. After evaluating the accuracy and correctness of input data, two types of earth surface model constructions have been evaluated; Grid-based and TINbased models. These tests were carried out at areas with diverse distribution and types of features to figure out detailed effect of methods in areas with different objects. All evaluations also demonstrate that each algorithm and model have strong and weak points which make them more efficient and proper for using in particular areas.
机译:在不同的科学领域中使用数字高程模型的快速增长导致人们对数据质量和生产方法更加敏感。这项研究的目的是评估使用现有地图生成DEM的不同方法,选择减少误差的最佳方法,并提高置信度。因此,要产生最好的数字高程模型,必须考虑两个重要因素:输入数据和模型构建技术。这项研究包括评估输入数据,模型结构和插值。在这项研究中,比例尺为1:25000的数字地图已被使用和评估以生成DEM。在评估了输入数据的准确性和正确性之后,对两种类型的地球表面模型构造进行了评估。基于网格和基于TIN的模型。这些测试是在具有不同分布和特征类型的区域进行的,以找出方法在具有不同对象的区域中的详细效果。所有评估还表明,每种算法和模型都有强项和弱项,这使其在特定领域使用时更加有效和合适。

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