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基于快速局部对比度和目标特征的星图弱小目标检测算法

牛海鹏 颜昌翔 王一霖 管海军 王超 邵建兵

液晶与显示2024,Vol.39Issue(1):69-78,10.
液晶与显示2024,Vol.39Issue(1):69-78,10.DOI:10.37188/CJLCD.2023-0060

基于快速局部对比度和目标特征的星图弱小目标检测算法

Star map spatial target detection method based on fast local contrast and target features

牛海鹏 1颜昌翔 2王一霖 1管海军 3王超 3邵建兵2

作者信息

  • 1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033||中国科学院大学,北京 100049
  • 2. 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033
  • 3. 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033||长春长光智欧科技有限公司,吉林 长春 130033
  • 折叠

摘要

Abstract

In order to solve the problems of large amount of computation and difficulty in removing background noise when the local contrast method is used in star map spatial target detection,a method based on fast local contrast and target features is proposed to detect the target.Through three steps of before,during and after contrast calculation,the real-time performance of the algorithm is improved,the complex background is suppressed and the noise is removed.Firstly,high frequency noise is removed by median filtering.Then,the target region is determined by fast local maximum filtering,and the background is suppressed by local contrast calculation to highlight the imaging features of the target.Finally,according to the imaging features of the target,three feature functions are set,namely target energy distribution,target energy concentration and target energy transfer.By setting the feature threshold,noise is removed and the real target is extracted.The experimental results show that the proposed method has advantages in detection rate and time consumption.For the target with a signal-to-clutter ratio of 1.5,the detection rate is 95%,and the average time is only about 1/30~1/6 of some comparison methods.The method proposed in this paper is more suitable for rapid target detection under complex star map background conditions,and meets the requirements of strong robustness and high real-time performance of the spatial target detection algorithm of star map.

关键词

星图空间目标/目标检测/人类视觉系统/局部对比度/快速极大值滤波/目标特征

Key words

star map space object/object detection/human visual system/local contrast/fast maximum filtering/target feature

分类

信息技术与安全科学

引用本文复制引用

牛海鹏,颜昌翔,王一霖,管海军,王超,邵建兵..基于快速局部对比度和目标特征的星图弱小目标检测算法[J].液晶与显示,2024,39(1):69-78,10.

基金项目

吉林省科技发展计划重点研发项目(No.20210201090GX) (No.20210201090GX)

吉林省科技发展计划青年成长科技计划(No.20210508036RQ)Supported by Key Research and Development Project of Jilin Province Science and Technology Develop-ment Plan(No.20210201090GX) (No.20210508036RQ)

Youth Growth Science and Technology Project of Jilin Province Science and Technology Development Plan(No.20210508036RQ) (No.20210508036RQ)

液晶与显示

OA北大核心CSTPCD

1007-2780

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