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遥感技术与应用  2014, Vol. 29 Issue (1): 106-113    DOI: 10.11873/j.issn.1004-0323.2014.1.0106
遥感应用     
面向对象的土地覆被变化检测研究
夏朝旭1,何政伟1,于欢1,王东辉2 ,叶娇珑1
(1.成都理工大学地球科学学院,四川 成都 610059;
2.中国地质调查局成都地质调查中心,四川 成都 610081)
Study on Land Cover Change Detection based on Object-oriented Analysis
Xia Chaoxu1,He Zhengwei,Yu Huan1,Wang Donghui2,Ye Jiaolong1
(1.Chengdu University of Technology,Chengdu 610059 China;
2.Chengdu Institute of Geology and Mineral Resources,Chengdu 610081 China)
 全文: PDF(3453 KB)  
摘要:

运用面向对象的方法进行土地覆被变化检测,利用遥感数据光谱信息、纹理特征、拓扑关系,在多尺度分割获得对象的基础上,构建了变化矢量方法和向量相似性的检测方法,两种检测方法均成功检测出了所选取实验区的土地覆被变化信息。结果表明:对于同一区域同一时相的两期影像的面向对象变化检测,两种方法的总体精度都在80%以上,但变化矢量方法(CVA)精度要高于向量相似性方法。因此,在进行土地覆被变化检测时可以优先考虑变化矢量方法(CVA)。

关键词: 变化检测面向对象变化矢量分析向量相似性    
Abstract:

An object-oriented method detected land cover change,using remote sensing data spectrum information,texture features,topological relation,based on the multi\|scale segmentation of objects,establish methods for the detection of vector method and the vector similarity changes,two detection methods were successfully detected land cover change information in the experimental area.Results show that two methods of detecting changes in more than 80% in the same area of two object oriented image the same time detection of overall accuracy,but the Change Vector Method(CVA) precision is higher than that of vector similarity method.Therefore,the land cover change detection can be given priority to CVA.

Key words: Change detection    Object oriented    CVA    Vector similarity
收稿日期: 2013-01-11 出版日期: 2014-05-14
:  X141  
作者简介: 夏朝旭(1987-),男,河南人,硕士研究生,主要从事生态环境地质研究。Email:xcx051766@sina.com。
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引用本文:

夏朝旭,何政伟,于欢,王东辉,叶娇珑. 面向对象的土地覆被变化检测研究[J]. 遥感技术与应用, 2014, 29(1): 106-113.

Xia Chaoxu,He Zhengwei,Yu Huan,Wang Donghui,Ye Jiaolong. Study on Land Cover Change Detection based on Object-oriented Analysis. Remote Sensing Technology and Application, 2014, 29(1): 106-113.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.1.0106        http://www.rsta.ac.cn/CN/Y2014/V29/I1/106

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