基于DEM的6种坡度提取算法的比较分析——以山东省青岛市为例

坡度是描述地形特征信息的一个重要指标,对于制订土地利用规划和防御地质灾害具有重要意义。本文基于山东省青岛市的ASTER GDEM数据,利用MATLAB进行矩阵运算,采用6种坡度提取算法分别获取坡度矩阵、最大值和中误差等统计指标,对比分析6种算法的提取精度。结果表明:简单差分算法出现极端和偏差情况的概率较高,可信度不高;三阶不带权差分和三阶反距离平方权差分算法比较稳定,偏差较小且精度较高,对沿海地区坡度提取具有借鉴意义。

Comparison and Analysis of 6 Slope Extraction Algorithms Based on DEM: A Case Study of Qingdao City,Shandong Province

Slope is to describe the terrain feature information of an important indicator is the most basic terrain factor, will not only in-directly said the terrain ups and downs and form is also keep the soil and water conservation planning design and forestry, agriculture and natural disaster prediction is an important indicator. This paper based on the Dali in Yunnan province of ASTER GDEM data, u-sing MATLAB to matrix calculations, using 6 kinds of gradient extraction algorithm for slope matrix respectively, by comparing differ-ent algorithms to extract the maximum slope, such as the error in the statistical index of six different gradient information extraction al-gorithm, this paper compares and analyzes that simple differential algorithm extreme and deviation probability is higher, the credibility is not high. Third order without weight difference and three-order inverse distance square weight difference algorithm is stable, smal-ler deviation and high precision.