| 一种带几何约束的大幅面遥感影像自动快速配准方法 |
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| 引用本文： | 张谦, 贾永红, 吴晓良, 胡忠文. 一种带几何约束的大幅面遥感影像自动快速配准方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(1): 17-21. |
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| 作者姓名： | 张谦 贾永红 吴晓良 胡忠文 |
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| 作者单位： | 1 武汉大学遥感信息工程学院,湖北 武汉,430079;2 武汉大学测绘遥感信息工程国家重点实验室,湖北 武汉,430079;3 国家测绘地理信息局卫星测绘应用中心,北京,100830 |
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| 基金项目： | 国家科技支撑计划资助项目(2011BAB01B05);国家自然科学基金资助项目(41001260);中央高校基本科研业务费专项资金资助项目(201121302020003)~~ |
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| 摘 要： | 针对大幅面遥感影像的配准需求,提出了一种带有几何约束的大幅面遥感影像快速自动配准方法。该方法首先结合遥感影像空间地理信息构建影像粗配准模型;然后在粗配准模型的约束下,通过对大幅面遥感影像进行规则格网划分,结合改进的SIFT算法和并行策略实现影像精配准。实验结果表明,本文方法能提高影像的配准效率,且配准精度较高,适用于大幅面遥感影像之间的配准。
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| 关 键 词： | 大幅面遥感影像 SIFT 影像快速配准 地理信息约束 |
| 收稿时间： | 2013-09-18 |
| 修稿时间： | 2014-01-05 |
A Rapid Image Registration Method Based on Restricted GeometryConstraints for Large-Size Remote Sensing Image |
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| ZHANG Qian, JIA Yonghong, WU Xiaoliang, HU Zhongwen. A Rapid Image Registration Method Based on Restricted GeometryConstraints for Large-Size Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2014, 39(1): 17-21. |
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| Authors: | ZHANG Qian JIA Yonghong WU Xiaoliang HU Zhongwen |
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| Affiliation: | 1School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;2State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;3Satellite Surveying and Mapping Application Center,NASMG,Beijing 100830,China |
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| Abstract: | Considering the registration of large-size remote sensing images,a rapid image registrationmethod based on restricted geometry constraints is proposed.Firstly,the coarse image registrationcombining geography information is introduced for remote sensing image.Then,by dividing the large-size image into grid images,fine registration is done combining an improved SIFT algorithm and paral-lel architecture under the constraints of a coarse registration model.Experimental results show thatthe proposed method not only can improve the efficiency of image registration,but also can processhigher registration accurately,and applicable for registering large-size remote sensing images. |
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| Keywords: | large-size remote sensing image SIFT rapid image registration geometry constraints |
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