The Assessment of using an Intelligent Algorithm for the Interpolation of Elevation in the DTM Generation Verwendung von Methoden der künstlichen Intelligenz zur Ableitung von Höhenmodellen

Hossein Bagheri, Saeed Sadeghian, Seyyed Yousef Sadjadi
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引用次数: 13

Abstract

digital elevation model (DEM) (abDul-raHMaN & PilouK 2008). In other words, DEM continuously displays elevation changes of the Earth surface, which is directly proportional to the plane position (x,y) (abDul-raHMaN & PilouK 2008, cHaPlot et al. 2006, MillEr & laflaMME 1958). Initially, 3D models were created physically from plastic, sand, clay, etc. (li et al. 2004). Today, however, computers are used to display the Earth’s continuous surfaces in a digital form (HEESoM & MaHDJobi 2001). One of the most important issues in the field of digital modelling is the generation of a DEM with high quality and precision under minimum costs. To estimate a continuous surface, due to the limited number of samples and the necessity of reproducing altitude points,
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DTM生成中高程插值智能算法的评价[j] . Höhenmodellen
数字高程模型(DEM) (abDul-raHMaN & PilouK 2008)。也就是说,DEM连续显示地球表面的高程变化,高程变化与平面位置(x,y)成正比(abDul-raHMaN & PilouK 2008, cHaPlot et al. 2006, MillEr & laflaMME 1958)。最初,3D模型是由塑料,沙子,粘土等物理创建的(li et al. 2004)。然而,今天,计算机被用来以数字形式显示地球的连续表面(HEESoM & MaHDJobi 2001)。在数字建模领域中,最重要的问题之一是如何以最小的成本生成高质量、高精度的DEM。为了估计一个连续的曲面,由于样本数量有限,并且需要再现高度点,
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来源期刊
Photogrammetrie Fernerkundung Geoinformation
Photogrammetrie Fernerkundung Geoinformation REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
1.36
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0.00%
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>12 weeks
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