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遥感技术与应用  2010, Vol. 25 Issue (5): 653-661    DOI: 10.11873/j.issn.1004-0323.2010.5.653
研究与应用     
基于高分辨率遥感影像的面向对象城市土地覆被分类比较研究
仇江啸1,2,王效科1
(1.中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京100085;
2.中国科学院研究生院,北京100049)
A Comparative Study on Object-based Land Cover Classification in High Spatial Resolution Remote Sensing Imagery of Urban Areas
QIU Jiang-xiao1,2,WANG Xiao-ke1
(1.State Key Laboratory of Urban and Regional Ecology,Research Center for
Eco-environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(4766 KB)  
摘要:

针对高分辨率遥感影像的城市土地覆被信息提取,根据分类目的与精度要求的不同,分别引入了优化与广义两种面向对象分类方案,并对分类的结果进行分析比较。结果表明:① 优化方案的分类结果总体上要比广义方案好,前者的总体精度为86.50%,相比后者的80.50%提高了6.0%,而总体Kappa系数提高了0.0851,但是该方案效率低,可移植性差;② 广义方案的分类结果虽然精度略低,但是该方案具有很强的适用性与可移植性,能够在精度可控范围内,很大程度提高分类效率,实现系统而有效的自动分类;③ 广义方案得到的分类结果具有一致的精度,在利用其建立城市生态模型中能够保证数据之间的系统性与鲁棒性。因此,利用优化方案能够提高分类结果的绝对精度,而广义方案对于实时精确获取城市土地覆被信息、小尺度上定量监测与评价城市化的生态后果以及有效开展城市土地规划与管理具有更重要的意义。

关键词: 土地覆被分类高分辨率遥感影像面向对象优化分类方案广义分类方案    
Abstract:

We present a comparative study of two object\|oriented land cover classification schemes based on high spatial resolution imagery in Beijing urban areas.Results indicate that optimized classification scheme produces a more enhanced accuracy than the generalized one.However,further comprehensive comparison reveals that the generalized scheme is more efficient and its classification rules can be easier to transport to additional areas of the same imagery and to other imageries of the same quality.In addition,land cover classification derived from generalized scheme is more systematic and robust.Hence,we conclude that if absolute accuracy is the desired goal for classification,optimized scheme is recommended; yet if the transportability and consistency are preferred,generalized scheme is more satisfactory,which also has important implications for timely and accurately land cover mapping,quantitative monitoring and assessing ecological consequences of urbanization and effective urban land planning and management.

Key words:  Land cover classification    High spatial resolution remote sensing image    Object\    oriented    Optimized classification scheme    Generalized classification scheme
收稿日期: 2010-03-02 出版日期: 2013-10-30
基金资助:

中国科学院知识创新工程重要方向项目(KZCX2\|YW\|422)和城市与区域生态国家重点实验室自主项目(SKLURE2008\|1\|01)共同资助。

通讯作者: 王效科(1964-),男,研究员,博士生导师,主要从事区域和城市生态、生物地球化学循环和遥感技术应用研究。E-mail:wangxk@rcees.ac.cn。   
作者简介: 仇江啸(1985-),男,硕士研究生,从事遥感地学应用和城市景观格局研究。E-mail:qiujiangxiao@hotmail.com。
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引用本文:

仇江啸, 王效科. 基于高分辨率遥感影像的面向对象城市土地覆被分类比较研究[J]. 遥感技术与应用, 2010, 25(5): 653-661.

QIU Jiang-Xiao, WANG Xiao-Ke. A Comparative Study on Object-based Land Cover Classification in High Spatial Resolution Remote Sensing Imagery of Urban Areas. Remote Sensing Technology and Application, 2010, 25(5): 653-661.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.5.653        http://www.rsta.ac.cn/CN/Y2010/V25/I5/653

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