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基于跳跃马尔可夫模型的红外点目标检测方法
引用本文:刘志军,郑兆青,桑红石.基于跳跃马尔可夫模型的红外点目标检测方法[J].华中科技大学学报(自然科学版),2007,35(1):23-25.
作者姓名:刘志军  郑兆青  桑红石
作者单位:华中科技大学,图像识别与人工智能研究所,湖北,武汉,430074
摘    要:提出一种基于跳跃马尔可夫模型的红外点目标检测方法,根据模型设计了采用粒子滤器的模型参数与状态估计算法.该方法既能用于图像的空域滤波,也能用于序列图像的时域滤波.实验表明采用该方法进行空域/时域滤波可以极大地抑制杂波背景并增强点目标的可检测性.

关 键 词:点目标检测  加权中值滤波  跳跃马尔可夫模型  粒子滤波器  红外图像  杂波抑制  马尔可夫模型  红外点目标  检测方法  Markov  model  jump  detection  point  targets  可检测性  增强  杂波背景  空域滤波  实验  时域滤波  序列图像  状态估计算法  模型参数  滤器  粒子  设计
文章编号:1671-4512(2007)01-0023-03
修稿时间:11 23 2005 12:00AM

Infrared point targets detection using jump Markov model
Liu Zhijun,Zheng Zhaoqing,Sang Hongshi.Infrared point targets detection using jump Markov model[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(1):23-25.
Authors:Liu Zhijun  Zheng Zhaoqing  Sang Hongshi
Institution:Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:Spatial and temporal processing methods are the two basic algorithms for small targets detection in infrared images.Detection of infrared(IR) point targets is proposed,based on jump Markov model,and an algorithm for model parameter and state estimation was designed.The scheme can be applied to the temporal filtering in image sequences as well as to the spatial filtering in a single image.Experiments show that the approach can suppress clutter greatly and enhance the detectability of point targets at the same time when applied to spatial or temporal filtering.
Keywords:point targets detection  weighted median filter  jump Markov model  particle filter  infrared image  clutter suppression
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