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一种基于轮廓和尺度不变特征的环境星影像全自动配准方法 被引量:1

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摘要 由于环境星CCD影像和红外影像之间存在很大的亮度、分辨率以及视角差异,同时具有局部扭曲现象,实现二者全自动配准非常困难.针对以上难题,本文提出了一种基于轮廓和尺度不变特征的全自动配准方法.首先,利用轮廓特征配准算法实现粗配准,得到基准影像和待配准影像大致配准区域;然后,利用局部自适应的尺度不变特征配准算法实现影像的精配准.影像分块方法被引入到了精配准的过程中,不仅使得精配准得到的配准点对在影像中均匀分布,而且能够进一步提高待配准影像的校正精度.针对环境星影像做了大量配准实验,结果表明了本文提出的基于轮廓和尺度不变特征配准算法的有效性和精确性.
出处 《中国科学:地球科学》 CSCD 北大核心 2012年第8期1245-1252,共8页 Scientia Sinica(Terrae)
基金 国家重点基础研究发展计划项目(编号:2007CB714404)资助
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参考文献5

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