[1]孙士新,郑志蕴.基于多尺度NNLoG特征提取的红外多目标检测遗传算法[J].红外技术,2019,41(9):837-842.[doi:10.11846/j.issn.1001_8891.201909007]
 SUN Shixin,ZHENG Zhiyun.Genetic Algorithm for Infrared Multi-target Detection Based on Multi-scale NNLoG Feature[J].Infrared Technology,2019,41(9):837-842.[doi:10.11846/j.issn.1001_8891.201909007]
点击复制

基于多尺度NNLoG特征提取的红外多目标检测遗传算法
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
41卷
期数:
2019年第9期
页码:
837-842
栏目:
出版日期:
2019-09-20

文章信息/Info

Title:
Genetic Algorithm for Infrared Multi-target Detection Based on Multi-scale NNLoG Feature

文章编号:
1001-8891(2019)09-0837-05
作者:
孙士新1郑志蕴2
1. 亳州职业技术学院 信息工程系;
2. 郑州大学 信息工程学院
Author(s):
SUN Shixin1ZHENG Zhiyun2
1. Department of Information Engineering, Bozhou Vocational and Technical College;
2. School of Electrical and Information Engineering, Zhengzhou University

关键词:
多尺度三维匹配滤波NNLoG遗传算法弱小目标检测
Keywords:
multi-scalethree dimensional match filterNNLoGgenetic algorithmsmall target detection
分类号:
TP391
DOI:
10.11846/j.issn.1001_8891.201909007
文献标志码:
A
摘要:
本文提出了一种基于多尺度NNLoG特征提取的红外多目标检测遗传算法。首先采用三维匹配滤波器对不同速度的目标进行基于归一化LoG算子的目标检测,然后采用遗传算法对程序进行优化及加速。与传统算法相比,本文提出的方法检测效率高,检测效果好。并且可以自适应不同大小的目标。实验结果表明,提出的方法性能优良,搜索目标效率较高。
Abstract:
A genetic algorithm based on multi-scale NNLoG feature extraction for infrared multi-target detection is proposed in this study. First, a three dimensional matching filter is used to detect a target based on the normalized LoG operator for targets with different speeds. Subsequently, the genetic algorithm is used to optimize and accelerate the program. Compared to traditional algorithms, the proposed method has high detection efficiency and accuracy and can detect targets of different sizes. Experimental results show that the proposed method performs well with high search efficiency.

参考文献/References:

参考文献:
[1]? 王忍宝, 许四祥, 李天甲, 等. 基于DSP/BIOS图像处理的弱小目标检测[J]. 红外技术, 2017, 39(6): 500-504.
WANG Renbao, XU Sixiang, LI Tianjia, et al. Detection of Weak and Small Targets Based on DSP/BIOS Image Processing[J]. Infrared Technology. 2017, 39(6): 500-504.
[2]? 葛鹏, 崔国龙, 孔令讲, 等. 高速弱小目标检测的并行处理方法与性能分析[J]. 信号处理, 2017, 33(2): 127-134.
GE Peng, CUI Guolong, KONG Linjiang, et al. Parallel Processing Technique for High Speed Small Target Detection and Performance Analysis[J]. Journal of Signal Processing, 2017, 33(2): 127-134.
[3]? 李天甲, 许四祥, 姚志生, 等. 基于DSP的两帧差分和改进半因果弱小目标检测[J]. 激光与红外, 2017, 47(10): 1316-1320.
LI Tianjia, XU Sixiang, YAO Zhisheng, et al. Dim and small target detection based on two frame difference and modified semi-causal with DSP[J]. Laser & Infrared, 2017, 47(10): 1316-1320.
[4]? 易翔, 王炳健. 基于多特征的快速红外弱小目标检测算法[J]. 光子学报, 2017, 46(6): 610001-610002.
YI Xiang, WANG Binjian. Fast infrared and dim target detection algorithm based on multi-feature[J]. Acta Photonica Sinica, 2017, 46(6): 610001-610002.
[5]? 张祥越, 丁庆海, 罗海波, 等. 基于改进LCM的红外小目标检测算法[J]. 红外与激光工程, 2017, 46(7): 726001-726002.
ZHANG Xiangyue, DING Qinghai, LUO Haibo, et al. Infrared dim target detection algorithm based on improved LCM[J]. Infrared and Laser Engineering, 2017, 46(7): 726001-726002.
[6]? 姚成乾, 陈伟. 基于改进粒子算法的红外弱小目标检测研究[J]. 激光与光电子学进展, 2017, 54: 111101.
YAO Chengqian, CHEN Wei. Infrared Dim Target Detection Based on Improved Particle Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2017, 54: 111101.
[7]? 李思俭, 樊祥, 朱斌, 等. 基于运动模糊复原技术的红外弱小目标检测方法[J]. 光学学报, 2017, 37(6): 610001.
LI Sijian, FAN Xiang, ZHU Bin, et al. A method for small infrared targets detection based on the technology of motion blur recovery[J]. Acta Optica Sinica, 2017, 37(6): 610001.
[8]? 张智丰, 裴志利, 张亚荣. 加权融合特征耦合Top-Hat变换的红外目标检测算法[J]. 计算机工程与设计, 2017, 38(10): 2838-2844.
ZHANG Zhifeng, PEI Zhili, ZHANG Yarong. Infrared target detection algorithm based on Top-Hat transform and multi-feature weighted fusion feature[J]. Computer Engineering and Design, 2017, 38(10): 2838-2844.
[9]? 袁耀东, 许红艳, 陶琳. 一种新颖的强海杂波背景下弱小目标鲁棒检测算法[J]. 红外技术, 2017, 39(11): 1054-1059.
YUAN Yaodong, XU Hongyan, TAO Ling. A Novel Infrared Small-dim Object Detection under Complex Sea-clutter Background[J]. Infrared Technology, 2017, 39(11): 1054-1059.
[10]? 戴宪策, 谢奇. 基于傅里叶-梅林变换的图像匹配方法研究[J]. 红外技术, 2016, 38(10): 860-863.
DAI Xiance, XIE Qi. Research on Image Matching Algorithm Based on Fourier-Mellin Transform[J]. Infrared Technology, 2016, 38(10): 860-863.
[11]? 杨俊彦, 绛浩军, 曹耀心, 等. 海天背景下红外小目标检测的背景抑制及海天线检测方法[J]. 红外, 2016, 37(12): 24-28.
YANG Junyan, JIANG Haojun, CAO Yaoxin, et al. Background Suppression and Sea-sky Line Detection Method for Small Infrared Target Detection in Background of Sea and Sky[J]. Infrared, 2016, 37(12): 24-28.
[12]? 史晓刚, 白晓东, 李丽娟, 等. 基于小波分析的双色红外弱小目标检测算法[J]. 红外技术, 2016, 38(8): 688-692.
SHI Xiaogang, BAI Xiaodong, LI Lijuan, et al. A Dual-Band Infrared Dim Target Detection Algorithm Based on Wavelet Analysis[J]. Infrared Technology, 2016, 38(8): 688-692.
[13]? 田雯, 李素若. 基于频域映射与多尺度Top-Hat变换的外弱小目标检测算法[J]. 光学技术, 2018, 44(3): 325-332.
TIAN Wen, LI Suruo. Infrared dim target detection algorithm based on frequency-space domain mapping and multi-scale top-hat transform[J]. Optical Technology, 2018, 44(3): 325-332.
[14]? 周翔. 运动观测平台下卫星目标实时提取方法研究[D]. 长沙: 国防科技大学, 2007.
ZHOU Xiang. The Research of Satellite Real-Time Detection Method Based on Moving Flat[D]. Changsha: National University of Defense Technology, 2007.
[15]? 苗晓孔, 王春平. 改进Sobel算子的单帧红外弱小目标检测[J]. 光电工程, 2016, 43(12): 119-125.
MIAO Xiaokong, WANG Chunping. Single Frame Infra-red (IR) Dim Small target Detection Based on Improved Sobel Operator[J]. Opto-Electronic Engineering, 2016, 43(12): 119-125.
[16]? YIN H, XU B, LIU D. A Comprehensive Method for Evaluating Precision of Transfer Alignment on a Moving Base[J]. J. Marine Sci. Appl., 2017, 16: 344-351.
[17]? DENG H, YAO H, WEI Y, et al. A Parzen Window-based Approach to Detection of Infrared Dim Target Under Sea-sky Background[J]. International Journal of Automation and Computing, 2016, 13(5): 447-456.

相似文献/References:

[1]张蓓蕾,孙韶媛,武江伟,等.基于DRF-MAP模型的单目图像深度估计的改进算法[J].红外技术,2009,31(12):712.
 ZHANG Bei-lei,SUN Shao-yuan,WU Jiang-wei,et al.Depth Estimation from Monocular ImagesBased on DRF-MAP Model[J].Infrared Technology,2009,31(9):712.
[2]刘 哲,黄世奇,姜 杰.基于引导滤波和多尺度局部自相似单幅红外图像超分辨率方法[J].红外技术,2017,39(4):345.[doi:10.11846/j.issn.1001_8891.201704009]
 LIU Zhe,HUANG Shiqi,JIANG Jie.Single Image Super Resolution Method Based on Multi-scale Self-similarity and Non Local Means [J].Infrared Technology,2017,39(9):345.[doi:10.11846/j.issn.1001_8891.201704009]
[3]李泽仁,纪 峰,常 霞,等.多尺度时空上下文目标跟踪[J].红外技术,2017,39(6):535.[doi:10.11846/j.issn.1001_8891.201706010]
 LI Zeren,JI Feng,CHANG Xia,et al.Multi-scale Object Tracking Based on Spatio-temporal Context[J].Infrared Technology,2017,39(9):535.[doi:10.11846/j.issn.1001_8891.201706010]
[4]袁静珍,金 旺.基于改进双边滤波的多尺度运动目标检测方法[J].红外技术,2019,41(8):772.[doi:10.11846/j.issn.1001_8891.2019080013]
 YUAN Jingzhen,JIN Wang.Multi-scale Moving Target Detection Method Based on Improved Bilateral Filtering [J].Infrared Technology,2019,41(9):772.[doi:10.11846/j.issn.1001_8891.2019080013]

备注/Memo

备注/Memo:
收稿日期:2018-04-15;修订日期:2019-05-07.
作者简介:孙士新(1980-),男,汉族,安徽亳州人,副教授,研究方向为图像处理、数据挖掘。E-mail:zengshaoren38@163.com。
通信作者:郑志蕴(1962-),女,汉族,河南郑州人,博士,教授,研究方向为图像处理、网格技术与应用和计算机仿真。
基金项目:安徽省高校自然科学基金重点项目(KJ2015A445);高等职业教育创新发展行动计划项目(皖教高〔2016〕5号:XM-15);安徽省高校优秀青年人才支持计划重点项目(gxyqZD2016524)。

更新日期/Last Update: 2019-09-20