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遥感技术与应用
遥感应用     
基于MODIS NDVI时间序列的土地覆盖分层分类方法研究
王志慧1,2,李世明1,刘良云2,时 爽3
(1.中国林业科学研究院资源信息研究所,北京 100091;2.中国科学院遥感与数字地球研究所 数字地球重点实验室,北京 100094;3. 黄河水利委员会新闻宣传出版中心,河南 郑州 450003)
Hierarchical Land Cover Classification based on MODIS NDVI Time-series
Wang Zhihui1,2,Li Shiming1,Liu Liangyun2,Shi Shuang3
(1.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China; 2.Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing 100094,China; 3.Press and Publication Center,Yellow River Conservancy Commission,Zhengzhou 450003,China)
 全文: PDF(4596 KB)  
摘要: 以时间分辨率为16 d、空间分辨率为250 m的MODIS NDVI时间序列数据为主要数据源,利用两种滤波方法对NDVI时间序列进行滤波处理,并基于J-M距离比较了两种方法的类别可分性,同时结合短波红外光谱反射率数据、DEM数据,采用分层分类的方法,对中国东北3省进行了土地覆盖制图研究。在分类过程中,遵循逐级分类、先利用单一特征波段后结合多种特征波段的原则,综合使用阈值法、支持向量机(SVM)、人工神经网络(ANN)、C5.0决策树分类法对研究区内的土地覆盖类别进行逐层分类细化。根据已有的土地覆盖数据和高分辨率遥感影像对最终分类结果进行精度评价,总体分类精度为84.61%,Kappa系数为0.8262。
关键词: 分层分类NDVI时间序列MODIS土地覆盖    
Abstract: In this paper,we mainly used MODIS NDVI time-series dataset at 16-days temporal resolution and 250-meters spatial resolution to analyze land cover mapping of northeastern China.We used two different filter methods to fit NDVI time-series dataset,and compared their average classes’ separability based on Jeffries-Matusita distance index.In addition,we made use of hierarchical classification method to complete classification,combined with short-wave infrared spectral reflectance data and DEM.We conformed to the principle that separate area hierarchically into several parts first and then classify each part further,and use a single characteristic band first and then multiple feature bands.In the process of classification,we adopted threshold value method,support vector machine,artificial net neural and C5.0 decision tree classification to distinguish each land-cover type hierarchically.Finally,we evaluated the accuracy of the final classification of study area using known land-cover classification data and high-resolution remote sensing imagery,overall accuracy is 84.61%,Kappa coefficient is 0.8262.
Key words: Hierarchical classification    NDVI time-series    MODIS;Land-cover
收稿日期: 2012-08-06 出版日期: 2014-03-14
:  TP 79  
基金资助: 国家科技支撑计划课题(2011BAH06B02),林业公益性行业科研专项(200804001)。
通讯作者: 李世明(1974-),男,黑龙江呼兰人,副研究员,主要从事林业遥感技术与应用方面的研究。E-mail:lism@caf.ac.cn。   
作者简介: 王志慧(1985-),男,山西太原人,硕士研究生,主要从事地表覆盖与遥感地表参量反演研究。E-mail:wzh8588@yahoo.com.cn。
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王志慧,李世明,刘良云,时 爽. 基于MODIS NDVI时间序列的土地覆盖分层分类方法研究[J]. 遥感技术与应用, .

Wang Zhihui,Li Shiming,Liu Liangyun,Shi Shuang. Hierarchical Land Cover Classification based on MODIS NDVI Time-series. Remote Sensing Technology and Application, .

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http://www.rsta.ac.cn/CN/        http://www.rsta.ac.cn/CN/Y2013/V28/I5/910

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