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一种利用物方定位一致性的多光谱卫星影像自动精确配准方法
引用本文:王密, 杨博, 金淑英. 一种利用物方定位一致性的多光谱卫星影像自动精确配准方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(7): 765-769.
作者姓名:王密  杨博  金淑英
作者单位:1武汉大学测绘遥感信息工程国家重点实验室
基金项目:国家973计划资助项目(2012CB719902)
摘    要:提出了一种基于物方定位一致性的卫星多光谱影像自动配准方法。首先采用类似于相对定向的方式恢复各波段影像间精确的相对几何成像关系;然后基于同名像元物方定位一致性的约束条件,在无需影像匹配的情况下实现子像素级的多光谱影像自动配准。该方法是一种真正几何意义上的配准,波段间的纠正模型为严密几何成像模型,不仅在理论上具有严密性,而且配准结果与影像质量无关。为了验证本文方法的正确性和可行性,对资源三号卫星的多光谱影像进行了实验。目前该方法已应用于卫星影像预处理软件中。

关 键 词:卫星多光谱影像  波段配准  相对几何成像关系  物方定位一致性  纠正模型
收稿时间:2013-04-17
修稿时间:2013-04-17

A Registration Method Based on Object-Space Positioning Consistency for Satellite Multi-spectral Image
WANG Mi, YANG Bo, JIN Shuying. A Registration Method Based on Object-Space Positioning Consistency for Satellite Multi-spectral Image[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 765-769.
Authors:WANG Mi  YANG Bo  JIN Shuying
Affiliation:1State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China
Abstract:This paper proposes a registration method based on object-space positioning consistency for satellite multi-spectral images.The method includes two steps: restoring the precise band-to-band relative geometric imaging relationship by adopting a method similar to relative orientation,and realizing automatic registration with sub-pixel accuracy without image-matching using the constraint conditions of object-space positioning consistency of the homologous image points.The method uses a rigorous geometric imaging model as the rectification model,achieving true geometric registration and is theoretically strict.The results,furthermore,have no relationship with the image quality.In our experiment,ZY3 satellite multi-spectral images are tested to demonstrate the feasibility and correctness of our method.This method has been successfully applied in the satellite image pre-processing software.
Keywords:satellite multi-spectral image  band-to-band registration  relative geometric imaging model  object-space positioning consistency  rectification model
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