基于像元与对象分类的景观指数差异性分析

景观指数分析是进行遥感监测土地利用及变化空间格局的重要方法之一,而因为遥感分类方法的不同,所计算出的同一景观指数所揭示的土地变化模式可能出现较大差异。以北京市密云县为研究区,对影像分别进行了面向对象分类与基于像元的监督分类,并对两种分类进行景观指数计算,利用配对样本t检验方法对各景观指数进行了差异显著性分析。分析结果显示地类面积比例(PLAND)和最大斑块指数(LPI)在两种分类方法之间差异不显著;边缘密度(ED)略有显著差异性;而斑块数量(NP)、斑块面积平均值(AREA_MN)、聚合度(AI)与周长面积分维数(PAFRAC)在两种分类方法之间差异显著。

Comparison and Analysis of Landscape Metrics based on Pixel Classification and Object Classification Methods

Landscape index analysis is one of the important methords to monitor the Spatial pattern of land use change by remote sensing.And because of different methods of remote sensing classification,land change patterns that revealed by the same landscape which calculated by different classification methords which may be quite different.Taking Miyun Lounty of Beijing as Qur study Qrea.Object\|oriented classification and pixel\|based supervised classification were Applied to the same image separately.And landscape index was calculated by classification results.The difference of landscape index was calculatedby different classification methords which was analyzed by paired samples t\|test method.The results show that the difference of some landscape indexes which include Percent of landscape (PLAND) and Largest patch index (LPI) is not significant.The difference of Edge density (ED) is slightly significant.And the difference of some landscape indexes include Number of patches (NP),Mean patch size (AREA_MN),Aggregation index (AI) and Perimeter\|Area Fractal Dimension (PAFRAC) is significant.