吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1625-1633.doi: 10.13229/j.cnki.jdxbgxb201705040

• • 上一篇    下一篇

基于梯度天空背景的非均匀性校正和点目标探测

刘让1, 2, 3, 王德江1, 2, 张刘4, 周达标1, 2, 3, 贾平1, 2, 丁鹏1, 2, 3   

  1. 1.中国科学院 长春光学精密机械与物理研究所,长春 130033;
    2.中国科学院 航空光学成像与测量重点实验室,长春 130033;
    3.中国科学院大学,北京 100049;
    4.吉林大学 仪器科学与电气工程学院,长春130061
  • 收稿日期:2016-06-14 出版日期:2017-09-20 发布日期:2017-09-20
  • 通讯作者: 张刘(1978-),男,教授.研究方向:卫星姿态测量与控制技术,空间对接测量技术及空间遥感成像系统设计与仿真技术.E-mail:zhangliu@jlu.edu.cn
  • 作者简介:刘让(1990-),男,博士研究生.研究方向:红外探测技术,图像处理.E-mail:liurang14@mails.ucas.ac.cn
  • 基金资助:
    国家自然科学基金项目(61308099); 吉林省重大科技攻关专项项目(11ZDGG001); 国家重点研发计划(2016YFB0501003); 上海市科委重点项目(16DZ1120400)

Non-uniformity correction and point target detection based on gradient sky background

LIU Rang1, 2, 3, WANG De-jiang1, 2, ZHANG Liu4, ZHOU Da-biao1, 2, 3, JIA Ping1, 2, DING Peng1, 2, 3   

  1. 1.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China;
    2.Key Laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun 130033,China;
    3.University of Chinese Academy of Sciences, Beijing 100049,China;
    4.College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China
  • Received:2016-06-14 Online:2017-09-20 Published:2017-09-20

摘要: 针对黑体两点校正方法不适用于校正梯度天空背景的问题,提出一种新的基于梯度天空背景的两点校正方法。首先,采用邻域像素替代法剔除位置固定不变的盲元;然后,利用红外焦平面探测器拍得的两幅不同俯仰角度的纯净天空图像作为两个温度点,进行两点校正获得增益系数和偏置系数;最后,通过修正这两个系数剔除少量随机噪点。实验结果验证了该方法的有效性。本文在校正基础上还提出了一种小窗口双边滤波和梯度模板联合检测算法,用于探测暗弱点目标。首先采用小窗口的双边滤波去除高斯噪点,然后与梯度模板做卷积,自适应阈值分割检测出暗弱点目标。实验结果表明,提出的模板算法对复杂背景的抑制作用较强,可有效提高目标的信噪比,而且算法复杂度不高,易于实时实现。

关键词: 信息处理技术, 梯度天空背景, 非均匀性校正, 梯度模板算法, 暗弱点目标

Abstract: Tow-point Non-uniformity Correction (NUC) based on blackbody is not suitable to correct actual sky background. To overcome this problem, a new two-point correction method based on gradient sky background was proposed. First, the fixed positions of bind pixels are replaced by the pixels in neighborhood. Then, the two-point images are captured at two different pitch angles in the pure sky by infrared focal plane array detector; and gain and offset coefficients are obtained from two-point correction. Finally, the two correction coefficients are modified to remove a few remaining bas points. Results show that this method has good performance. In the second place, a new bilateral filtering and gradient template algorithm is proposed to detect dim point target after correction. First, median filter is used to remove remaining single noise. Then, convolution with the gradient template is made. Dim point target can be detected after adjusting image grayscale to the certain threshold interval. Results show that the proposed gradient template algorithm has advantages to suppress complex background. It improves Signal-to-noise Ratio (SNR), and has the preference of low complexity and easy implementation in real-time system.

Key words: information processing technology, gradient sky background, non-uniformity correction, gradient template algorithm, dim point target

中图分类号: 

  • TP391.4
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