首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于空间分形特征差异的目标检测
引用本文:许小可,柳晓鸣,陈晓楠.基于空间分形特征差异的目标检测[J].大连海事大学学报(自然科学版),2007,33(2):45-48.
作者姓名:许小可  柳晓鸣  陈晓楠
作者单位:大连海事大学信息工程学院 辽宁大连116026
摘    要:为有效检测海杂波中的弱小目标,针对海杂波的分形特征随大时空变化的特点,提出使用短时间内空间分形特征差异来检测海面弱小目标的方法.该法充分利用短时间和局部海域上海杂波的分形维具有稳定性,目标区域和海杂波间存在较大空间Hurst参数差异的特点,克服传统分形维检测法使用固定门限检测效果不佳的缺陷.经理论分析和IPIX雷达实际数据检测,目标和海杂波的特征量均值差异约为3,优于原方法分形维的均值差异小于0.8的检测效果.

关 键 词:海杂波  目标检测  空间分形  Hurst参数
文章编号:1006-7736(2007)02-0045-04
修稿时间:2007-01-10

Targets detection based on spatial fractal character differences
XU Xiao-ke,LIU Xiao-ming,CHEN Xiao-nan.Targets detection based on spatial fractal character differences[J].Journal of Dalian Maritime University,2007,33(2):45-48.
Authors:XU Xiao-ke  LIU Xiao-ming  CHEN Xiao-nan
Institution:College of Information Engineering, Dalian Maritime University, Dalian 116026, China
Abstract:A method using spatial fractal character differences in a short time was proposed in order to detect weak and small targets within sea clutter,which could not be detected when using a fixed fractal dimensions threshold in a long time and large area.The new method utilized the characters that the fractal dimensions of sea clutter are stationary in a short time and partial area,and great spatial Hurst parameter differences between sea clutter area and target area are available.Theoretical analysis and experimental results of IPIX datasets show that the proposed method performs better than that only using the fractal dimensions of sea clutter.The difference between sea clutter and targets with new method is about 3,better than the old method below 0.8.
Keywords:sea clutter  target detection  spatial fractal  Hurst parameter
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号