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一种新的遥感影像角点提取方法 被引量:1

A New Method for Corner Detection of Remote Sensing Images
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摘要 角点是数字影像中重要的几何特征,角点的准确提取对于影像处理与应用具有重要意义。本文针对MIC角点提取算子处理速度快、抗噪性差等特点,提出一种新的遥感影像角点提取方法——EMIC,充分利用角点的灰度值变化特点,首先从对角线方向对角点进行粗提取,然后在垂直、水平方向对角点进行精提取。实验验证,EMIC算子角点提取速度更快,并且抗噪性强,有更好的实用性。 Corner is an important geometrical feature of digital images.The exact corner detection is vital to image processing and applications.Aiming at the characteristics of fast processing speed and bad anti-noise of the MIC operator,this paper proposed a new method for corner detection of remote sensing images-EMIC(Enhanced the MIC).Taking full advantage of the changing of the gray values of the corner,it first roughly extracted the corners from the diagonal direction,and then accurately extracted the corners from the horizontal direction and vertical direction.The EMIC operator has faster extracting speed,better anti-noise property and more practical value than MIC operator through experimental verification.
出处 《遥感信息》 CSCD 2014年第2期114-117,共4页 Remote Sensing Information
基金 校级中央高校基本科研业务费专项资金(2011119004)
关键词 角点提取 MIC算子 EMIC算子 影像匹配 重复率 corner detection MIC operator EMIC operator image matching repetition rate
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参考文献7

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二级参考文献7

  • 1李晓明,郑链,胡占义.基于SIFT特征的遥感影像自动配准[J].遥感学报,2006,10(6):885-892. 被引量:154
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