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一种基于角点特征的遥感影像自动配准方法
引用本文:赵前鑫,杨英宝.一种基于角点特征的遥感影像自动配准方法[J].测绘科学,2013,38(3):160-162,133.
作者姓名:赵前鑫  杨英宝
作者单位:河海大学地球科学与工程学院,南京,210098
基金项目:国家自然科学基金项目,于超分辨率重建技术的城市居住用地强度与热环境空间分异及关系研究
摘    要:本文通过对Harris算子进行改进,自适应地提取角点特征,然后基于角点特征进行由粗到精的匹配,完成影像的配准;并利用MODIS影像、TM影像和HJ-1卫星影像3种不同分辨率的遥感影像进行配准实验,结果表明该自动配准方法能够达到亚像素级的配准精度,是一种高精度的影像配准方法。

关 键 词:影像匹配  自动配准  Harris算子  遥感影像

An automtic registration method of remote sensing image based on improved Harris corner extraction
ZHAO Qian-xin,YANG Ying-bao.An automtic registration method of remote sensing image based on improved Harris corner extraction[J].Science of Surveying and Mapping,2013,38(3):160-162,133.
Authors:ZHAO Qian-xin  YANG Ying-bao
Institution:(College of Geoscience and Engineering of Hohai University,Nanjing 210098,China)
Abstract:An automatic method based on corner features for the registration of remote sensing image was proposed in this paper.In this registration scheme,Harris operator was developed to detect corner features adaptively.Then the registration was conducted from roughly to fine.Experiments were carried out on MODIS images,TM images and HJ-1 images whose resolution are different.The results demonstrated that the proposed method could make registration accuracy up to sub-pixel,which can be a registration method of high precision.
Keywords:image matching  automatic registration  Harris operator  remote sensing image
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