Spatial Structure Characteristics Detecting of Landform based on Improved 3D Lacunarity Model  

作　　者：TAO Yang TANG Guo'an Josef STROBL 

机构地区：[1]Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210046,China [2]Department of Geography and Geology&Z_GIS-Centre for Geoinformatics,University of Salzburg,Salzburg 5020,Austria [3]Geomatics Center of Jiangsu Province,Nanjing 210013,China [4]Austrian Academy of Sciences,Salzburg 5020,Austria

出　　处：《Chinese Geographical Science》2012年第1期88-96,共9页中国地理科学（英文版）

基　　金：Under the auspices of National Natural Science Foundation of China (No.40930531,41171320,41001301)

摘　　要：The spatial structure characteristics of landform are the foundation of geomorphologic classification and recognition.This paper proposed a new method on quantifying spatial structure characteristics of terrain surface based on improved 3D Lacunarity model.Lacunarity curve and its numerical integration are used in this model to improve traditional classification result that different morphological types may share the close value of indexes based on global statistical analysis.Experiments at four test areas with different landform types show that improved 3D Lacunarity model can effectively distinguish different morphological types per texture analysis.Higher sensitivity in distinguishing the tiny differences of texture characteristics of terrain surface shows that the quantification method by 3D Lacu-narity model and its numerical integration presented in this paper could contribute to improving the accuracy of land-form classifications and relative studies.The spatial structure characteristics of landform are the foundation of geomorphologic classification and recognition. This paper proposed a new method on quantifying spatial structure characteristics of terrain surface based on improved 3D Lacunarity model. Lacunarity curve and its numerical integration are used in this model to improve traditional classification result that different morphological types may share the close value of indexes based on global statistical analysis. Experiments at four test areas with different landform types show that improved 3D Lacunarity model can effectively distinguish different morphological types per texture analysis. Higher sensitivity in distinguish- ing the tiny differences of texture characteristics of terrain surface shows that the quantification method by 3D Lacu- narity model and its numerical integration presented in this paper could contribute to improving the accuracy of land- form classifications and relative studies.

关 键 词：digital elevation model （DEM） 3D Lacunarity model spatial pattern terrain texture LANDFORM 

分 类 号：P618.130.2[天文地球—矿床学] S153[天文地球—地质学]