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基于红外目标纹理特征的发现概率评价模型
引用本文:林伟,陈玉华,高洪生,潘玉龙,王吉军,苏荣华. 基于红外目标纹理特征的发现概率评价模型[J]. 红外与激光工程, 2009, 38(1)
作者姓名:林伟  陈玉华  高洪生  潘玉龙  王吉军  苏荣华
作者单位:总参工程兵第四设计研究院,北京,100036;第二炮兵工程设计研究院,北京,100011;总参工程兵第四设计研究院,北京,100036;解放军理工大学,工程兵工程学院,江苏,南京,210007
摘    要:为客观评价固定目标的生存能力,建立了基于热红外图像纹理特征的目标发现概率模型.首先结合统计决策原理与图像分析与处理技术,应用Gabor函数小波的纹理分析方法和基于Bhattacharyaa距离的纹理相似度概念,得到发现概率公式.然后设计了图像特征与心理感知关系的心理学实验,根据实验分析结果确定模型参数.最后经专家判读试验和模拟试验验证,该模型结果可靠,能够从发现角度较为准确地模拟判读人员的判读过程,为评价固定目标在热红外波段的生存能力提供了新的方法,并为决策提供更为客观的依据.

关 键 词:固定目标  热红外特征  Gabor小波  发现概率  纹理特征

Detection probability evaluation model based on texture feature of thermal infrared
LIN Wei,CHEN Yu-hua,GAO Hong-sheng,PAN Yu-long,WANG Ji-jun,SU Rong-hua. Detection probability evaluation model based on texture feature of thermal infrared[J]. Infrared and Laser Engineering, 2009, 38(1)
Authors:LIN Wei  CHEN Yu-hua  GAO Hong-sheng  PAN Yu-long  WANG Ji-jun  SU Rong-hua
Affiliation:1. The 4th Engineering Design and Research Institute of the PLA General Staff;Beijing 100036;China;2. Engineering Design and Research Institute of the Second Artillery;Beijing 100011;3. Engineering Institute of Corps of Engineers;PLA University of Science and Technology;Nanjing 210007;China
Abstract:In order to evaluate the viability of fixed target impersonality, the detection probability model is established based on texture feature of thermal infrared image. Firstly, by combining statistical decision theory with image analyzing and processing technology, applying the Gabor function wavelet texture analysis and Bhattacharyaa distance-based texture similitude degree concept, the detection probability formula was put forward. Secondly, psychophysical experiment was designed ,which studys the relation b...
Keywords:Fixed target  Thermal infrared feature  Gabor wavelet  Detection probability  Texture feature  
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