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

Q Social Sciences
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,
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,
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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