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基于信息融合的空中红外小目标识别
引用本文:陈谋,谭晓宇,姜长生.基于信息融合的空中红外小目标识别[J].光学精密工程,2009,17(8):2032-2040.
作者姓名:陈谋  谭晓宇  姜长生
作者单位:南京航空航天大学,自动化学院,江苏,南京,210016
基金项目:航空科学基金项目,江苏省自然科学基金项目 
摘    要:针对空中红外小目标很难识别且可信度低的特点,结合已有的识别算法,设计出一种新的小目标识别方法。将小目标的灰度、速度信息作为主要识别依据,并在此基础上加入轨迹信息作为补充依据。在利用灰度、速度信息后仍无法识别的情况下,将轨迹信息加入证据,进行非平等的D-S证据信息融合。仿真结果表明,新方法在不增加传感器数目的情况下将识别置信度平均提高了125%。

关 键 词:小目标识别  信息融合  D-S证据理论
收稿时间:2008-07-28
修稿时间:2008-10-10

IR small target recognition in sky background based on information fusion
CHEN Mou,TAN Xiao-yu,JIANG Chang-sheng.IR small target recognition in sky background based on information fusion[J].Optics and Precision Engineering,2009,17(8):2032-2040.
Authors:CHEN Mou  TAN Xiao-yu  JIANG Chang-sheng
Affiliation:CHEN Mou,TAN Xiao-yu,JIANG Chang-sheng(College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing 210016,China)
Abstract:For the difficulty of recognizing infrared small targets in sky backgrounds and its low recognition reliability,an improved method based on the unfair D-S evidential theory for small target recognition is presented combined with the previous methods. To improve the recognition confidence degree,the velocity and gray information of small targets is regarded as the major evidence,and the track information of the targets is treated as the supplement evidence. The proposed algorithm firstly recognizes the small...
Keywords:Small target recognition  Information fusion  D-S evidential theory
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