期刊文献+

基于双边滤波和巴氏距离的红外小目标检测 被引量:11

Infrared Small Target Detection Based on Bilateral Filter and Bhattacharyya Distance
下载PDF
导出
摘要 为了提高红外小目标的检测精度,采用双边滤波方法去除目标和噪声调整,设置双边滤波的标准差,并模糊化目标和噪声得到背景的估计,得到待选目标区域,通过估计图像的概率密度函数,再根据已有的目标模型与待处理目标区域计算巴氏距离找到最大值,获得目标的准确检测结果。实验表明,该目标检测方法不仅大大提高了检测速度,也提高了小目标的检测精度。 In order to improve the detection accuracy of small infrared target , the bilateral filter was adopted to remove target and adjust noise .The maximum value which was most likely the target position was found accord-ing to the existing target model and image to be processed to search and calculate Bhattacharyya distance though estimating the probability density function of the image .In this position , the standard deviation of bilateral filter was amplified , and target and noise were to be fuzzy to get the estimate of the background , then finally to get the detection results of the target .The experimental results show that this target detection method not only great -ly improves the detection speed , but also improves the accuracy of detection of small targets .
作者 田红彬
出处 《核电子学与探测技术》 CAS CSCD 北大核心 2014年第10期1159-1163,共5页 Nuclear Electronics & Detection Technology
基金 国家自然科学基金资助项目(60974005)
关键词 双边滤波 巴氏距离 目标检测 概率密度 bilateral filter Bhattacharyya distance target detection probability density
  • 相关文献

参考文献14

  • 1A. D. Jong. IRST and its perspective[ A] , Proc. SPIE 2552,1995:206 - 213.
  • 2S.L. Wolfe. Introduction to Infrared System Design, SPIE Optical Engineering Press [ M ]. Bellingham, WA, 1996.
  • 3He Deng, Jianguo Liu, Infrared small target detection based on the self- information map [ J ]. Infrared Physics & Technology ,2011,54 : 100 - 107.
  • 4钱鹏江,王士同,邓赵红.基于稀疏Parzen窗密度估计的快速自适应相似度聚类方法[J].自动化学报,2011,37(2):179-187. 被引量:6
  • 5陈虎虎,沈旭峰,王同东,靳平.大气层核试验次声监测技术[J].核电子学与探测技术,2010,30(7):944-948. 被引量:3
  • 6肖秀春,彭群生,卢晓敏,王章野,张雨浓,姜孝华.基于次序统计量像素灰度相似度的图像双边滤波[J].计算机辅助设计与图形学学报,2011,23(7):1232-1237. 被引量:8
  • 7杜向龙,伍健荣,邢涛.一种改进的基于背景抽取的运动目标检测算法[J].计算机测量与控制,2011,19(11):2665-2667. 被引量:8
  • 8Shitong Wang, Fu - lai Chung, Fusong Xiong, A novel image thresholding method based on Parzen window estimate [ J ]. Pattern Recognition, 2008,41 : 117 - 129.
  • 9Deng - Yuan Huang, Chia - Hung Wang. Optimal multi - level thresholding using a two - stage Otsu op- timization approach [ J ]. Pattern Recognition Letters, 2009,30:275 - 284.
  • 10Yimei Kang, Guan Wang,Jiang Hu. A Mean Shift Based Small Target Tracking Algorithm in Colored Video[ A ]. International Conference of Soft Compu- ting and Pattern Recognition (SoCPaR) ,2011.

二级参考文献57

  • 1李存华,孙志挥,陈耿,胡云.核密度估计及其在聚类算法构造中的应用[J].计算机研究与发展,2004,41(10):1712-1719. 被引量:64
  • 2http://www2.ctbto org/web-bin.all.pidc.pq?dc.IDC library,2008.6.19.
  • 3D.Ponceau,P.Dupont,S.Peyraud.Recent Developments in Absolute Infrasound Sensors[C].2007 Infrasound Technology Workshop,Novemberl3-16,2007,Tokyo,Japan.
  • 4http://www.gi.alaska.edu/chaparral/Infrasound-PS.html.Product Selection Chart.2008.6.19.
  • 5http://bksv.com/Products/TransducersXonditioning/ AcousticTransducers/Microphones/ 4193.aspx,4193 Pressure-field Microphone,2008.6.19.
  • 6http://www.ioa.ac cn/zuzhi/daedirection_infsound.html.次声研究与应用,2008.6.19.
  • 7Douglas P.Drob.HWM Upgrade for Infrasound Propagation Calculations[C].2006 Infrasound Technology Workshop.September25-28,2006,Fairbanks,Alaska.
  • 8Douglas P.Drob and J.M.Picone.Statistical performance measures of the hwm-93 and msise-90 empirical atmospheric models and the relation to infrasonic CTBT monitoring.22nd Annual DoD/DOE Seismic Research Symposium (SRR2000).
  • 9Young,C.J.,E.P.Chael,and B.J.Merchant.Version 1.7 of MatSeis and the GNEM R&E regional seismic analysis tools[C].Proc.24th Seismic Research Review,2002:915-924.
  • 10Nicolas Brachet.Smooth Introduction of Infrasound Data into the IDC Reviewed Event Bulletin-Part I:Procedure and Recent Developments[C].2007 Infrasound Technology Workshop,November13-16,2007,Tokyo,Japan.

共引文献21

同被引文献122

引证文献11

二级引证文献73

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部