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遥感技术与应用  2016, Vol. 31 Issue (1): 119-125    DOI: 10.11873/j.issn.1004-0323.2016.1.0119
遥感应用     
基于像元与对象分类的景观指数差异性分析
张洋华,刘慧平,杨晓彤
(北京师范大学地理学与遥感科学学院/遥感科学国家重点实验室,北京100875)
Comparison and Analysis of Landscape Metrics based on Pixel Classification and Object Classification Methods
Zhang Yanghua,Liu Huiping,Yang Xiaotong
(1.School of Geography and RS,Beijing Normal University,State Key Laboratory of
Remote Sensing Science,Beijing Normal University,Beijing 100875,China)
 全文: PDF(2098 KB)  
摘要:

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。

关键词: 景观指数分类方法配对样本t检验    
Abstract:

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.

Key words: Landscape index    Classification methord    Paired samples t-test
收稿日期: 2014-12-25 出版日期: 2016-04-05
:  P 901  
基金资助:

中央高校基本科研业务费专项资金助项目,国土资源部公益性行为科研专项(201411015\|03),国家自然科学基金项目(40671127)。

通讯作者: 刘慧平(1963-),女,北京人,教授,主要从事遥感在资源环境中的应用及研究。Email:hpliu@bnu.edu.cn。    
作者简介: 张洋华(1990-),男,山东泰安人,硕士研究生,研究方向为遥感在资源环境中的应用。Email:zhangyanghua1990@163.com。
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引用本文:

张洋华,刘慧平,杨晓彤. 基于像元与对象分类的景观指数差异性分析[J]. 遥感技术与应用, 2016, 31(1): 119-125.

Zhang Yanghua,Liu Huiping,Yang Xiaotong. Comparison and Analysis of Landscape Metrics based on Pixel Classification and Object Classification Methods. Remote Sensing Technology and Application, 2016, 31(1): 119-125.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.1.0119        http://www.rsta.ac.cn/CN/Y2016/V31/I1/119

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