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- 2018
基于特征点引导的多视影像择优匹配方法
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Abstract:
从冗余数据中选择一个或者多个最为显著的立体像对，在最少“伪信息”的影响下，获取最佳影像匹配效果，降低其它质量较差影像的负面平均效应，是提高多视影像匹配性能的关键。基于准确匹配的特征点，通过匹配测度的鲁棒性分析，提出一种多视影像的匹配质量分析方法；在此基础上，提出了一种基于特征点引导的多视影像择优匹配方法及基本思想、计算基础和择优匹配步骤。利用ADS40多度重叠影像数据进行了择优匹配实验。结果表明，该方法能够有效选取匹配质量较优的影像，获取更加准确的多视匹配结果，在一定程度上，比传统的多视匹配方法更加有效
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