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Novel metric of relative characteristics of small targets and backgrounds in infrared images

机译：红外图像中小目标与背景相对特征的新颖度量

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摘要

Small targets in infrared images are usually detected by using the relative characteristics of small targets and backgrounds. Compared with conventional descriptors, detectability of infrared small targets (DIST) is a better metric of the relative characteristics of small targets and backgrounds. However, the quantification method of DIST cannot describe the situation of darker targets in brighter background, which is common due to the intense reflection of sunlight. Moreover, its value is not normalized, so that it is not well suited to evaluate the degree of difference between small targets and backgrounds. An improved quantification method of DIST is proposed to address these problems, and a detecting method is developed based on the improved DIST. The experimental results show the validity of the improved quantification approach of DIST.
机译：通常通过利用小目标和背景的相对特征来检测红外图像中的小目标。与常规描述符相比，红外小目标（DIST）的可检测性是衡量小目标和背景相对特性的更好指标。但是，DIST的定量方法无法描述在明亮背景下较暗目标的情况，这是常见的，因为阳光会强烈反射。此外，其值未标准化，因此不太适合评估小目标和背景之间的差异程度。提出了一种改进的DIST量化方法来解决这些问题，并基于改进的DIST开发了一种检测方法。实验结果证明了改进的DIST量化方法的有效性。

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  • 来源
    《Optical engineering》 |2010年第10期|p.34-41|共8页
  • 作者

    Kang Huang; Xia Mao;

  • 作者单位

    Beihang University School of Electronic and Information Engineering P.O. Box 206 37th Xueyuan Road Beijing, 100191, China;

    Beihang University School of Electronic and Information Engineering P.O. Box 206 37th Xueyuan Road Beijing, 100191, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    infrared images; small targets; background; relative characteristics; metric.;

    机译：红外图像小目标;背景;相对特性;度量;

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