红外弱小目标背景抑制中的二维空域廓线法
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  • 英文篇名:Two-Dimensional Spatial Profile Method for Infrared Dim Point Target Background Suppression
  • 作者:刘高睿 ; 孙胜利 ; 林长青
  • 英文作者:LIU Gaorui;SUN Shengli;LIN Changqing;Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences;Shanghai Institute of Technical Physics, Chinese Academy of Sciences;University of Chinese Academy of Sciences;
  • 关键词:红外弱小目标 ; 背景抑制 ; 空域廓线
  • 英文关键词:infrared dim point target;;background suppression;;spatial profile
  • 中文刊名:HWJS
  • 英文刊名:Infrared Technology
  • 机构:中国科学院智能红外感知重点实验室;中国科学院上海技术物理研究所;中国科学院大学;
  • 出版日期:2019-04-19 17:28
  • 出版单位:红外技术
  • 年:2019
  • 期:v.41;No.316
  • 基金:中国科学院上海技术物理研究所创新专项(CX-63)
  • 语种:中文;
  • 页:HWJS201904006
  • 页数:6
  • CN:04
  • ISSN:53-1053/TN
  • 分类号:37-42
摘要
为了实现天基红外遥感图像中的弱小目标检测,抑制复杂的结构背景,提出了二维空域廓线法。算法以一维时域廓线目标检测理论为基础,将其扩展到二维空域,应用于单帧目标检测。采用二维空域廓线可以获得背景估计,用原始图像减去背景图像可获得包含目标的前景图像。将本文算法与现有的单帧目标检测算法相比,可获得更大的ROC曲线面积,表明提出算法优于同类算法。
        To successfully detect dim point targets in space-based infrared remote sensing images while suppressing complex structural backgrounds, a two-dimensional spatial profile method is proposed. The algorithm extends the one-dimensional temporal profile target detection theory to two-dimensional space and applies it to single-frame target detection. The estimated background can be obtained from the two-dimensional spatial profile, after which the foreground image containing the target can be obtained by subtracting the background image from the original image. Compared with the existing single-frame target detection algorithms, the proposed algorithm can obtain a larger ROC curve area, which indicates that two-dimensional spatial profile algorithm outperforms the existing algorithms.
引文
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