一种自适应定权地形复杂度模型

发布时间：2019-08-01 06:41

【摘要】：地形复杂度指标是数字地形分析中重要的参数。地形复杂度的定量表达能够为地形特征采样理论、数字地形分析(Digital terrain analysis,DTA)的不确定性分析、水文分析等方面提供重要依据。本文基于多因素地形因子指标,采用主成分分析方法构建一个自适应定权地形复杂度模型,以实现地形特征的综合描述:选取坡度(Slope,S)、全曲率(Total Curvature,Cur)、地形起伏度(Relief,Rel)和地形粗糙度(Rough,Rou)四个单一地形因子指标构建综合地形复杂度指标(Integrated terrain complexity index,ITCI,后文简称C);通过实验训练数据实现地形复杂度指标的解算,得到C与S、Cur、Rel、Rou之间的经验公式;根据经验公式计算实验区域的地形复杂度指标值,并结合实验区域的地形类型,得到地形复杂度指标值与地形类型之间的对应关系;选取了平原、丘陵和山区三个实验区域,计算C值对其对应关系进行验证。实验结果表明,本文构建的地形复杂度指标与地形特征之间的对应关系是合理的,能够有效描述地形特征。本文研究对于地形特征采样理论和DTA的不确定性分析等方面具有重要的参考价值和应用价值。
[Abstract]:Terrain complexity index is an important parameter in digital terrain analysis. The quantitative expression of terrain complexity can provide an important basis for the uncertainty analysis and hydrological analysis of terrain feature sampling theory, digital terrain analysis (Digital terrain analysis,DTA). In this paper, based on the multi-factor terrain factor index, an adaptive weighted terrain complexity model is constructed by principal component analysis (PCA) to realize the comprehensive description of terrain features. Four single terrain factor indexes, slope (Slope,S), full curvature (Total Curvature,Cur), terrain fluctuation (Relief,Rel) and terrain roughness (Rough,Rou), are selected to construct the comprehensive terrain complexity index (Integrated terrain complexity index,ITCI,. The calculation of terrain complexity index is realized by experimental training data, and the empirical formula between C and S, Curr, Rou and Rou is obtained. according to the empirical formula, the terrain complexity index value of the experimental area is calculated, and the corresponding relationship between the terrain complexity index value and the terrain type is obtained according to the terrain type of the experimental area. The corresponding relationship between the terrain complexity index value and the terrain type is obtained by selecting three experimental areas of plain, hill and mountain area, and the corresponding relationship is verified by calculating the C value. The experimental results show that the corresponding relationship between the terrain complexity index and the terrain features is reasonable and can effectively describe the terrain features. This paper has important reference value and application value for terrain feature sampling theory and uncertainty analysis of DTA.
【作者单位】：西南交通大学地球科学与环境工程学院;西南交通大学高速铁路运营安全空间信息技术国家地方联合工程实验室;
【基金】：测绘地理信息公益性行业科研专项项目(201512028) 中央高校基本科研业务费专项资金(2682014CX017) 西南交通大学研究生创新实验实践项目(YC201514103)~~
【分类号】：P208

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