首页 | 本学科首页   官方微博 | 高级检索  
     

红外双波段弱小目标温度特征提取模型研究
引用本文:刘铮,姚石磊,毛宏霞,戴聪明,魏合理.红外双波段弱小目标温度特征提取模型研究[J].激光与红外,2019,49(1):67-72.
作者姓名:刘铮  姚石磊  毛宏霞  戴聪明  魏合理
作者单位:中国科学院安徽光学精密机械研究所大气光学重点实验室,安徽合肥230031;中国科学院大学,北京100049;光学辐射重点实验室,北京100854;光学辐射重点实验室,北京,100854;中国科学院安徽光学精密机械研究所大气光学重点实验室,安徽合肥,230031
摘    要:针对红外目标远距离识别特征微弱且具有很大不确定性的问题,定量研究了目标红外辐射强度提取精度与图像信噪比关系,并基于红外双波段比色测温原理,建立了目标温度特征提取与置信度估计模型。经静态实验验证,在图像信噪比达到6时,目标温度特征估计区间为10 K,特征估计精度为5 K;经外场试验验证,在图像信噪比达到6时,目标温度特征估计区间为20 K,特征估计精度为10 K。

关 键 词:温度特征提取  双色测温  置信度

A model of faint target temperature estimation based on dual-band infrared
LIU Zheng,YAO Shi-lei,MAO Hong-xi,DAI Cong-ming,WEI He-li.A model of faint target temperature estimation based on dual-band infrared[J].Laser & Infrared,2019,49(1):67-72.
Authors:LIU Zheng  YAO Shi-lei  MAO Hong-xi  DAI Cong-ming  WEI He-li
Affiliation:1.Key Laboratory of Atmospheric Composition and Optical Radiation,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China;2.University of Chinese Academy of Sciences,Beijing 100049,China;3.Science and Technology on Optical Radiation Laboratory,Beijing 100854,China
Abstract:To solve the problem that infrared remote target recognition feature is weak and uncertain,the relationship between target infrared radiation intensity extraction accuracy and image SNR is quantitatively studied.Based on infrared dual-band temperature measurement principle,target temperature feature extraction and confidence estimation model are established.The static experiments show that when the image SNR reaches 6,the target temperature feature estimation interval is 10K,and the feature estimation accuracy is 5K.According to field test,when the image SNR reaches 6,the target temperature feature estimation interval is 20K.The feature estimation accuracy is 10K.
Keywords:temperature feature extraction  dual-band temperature measurement  confidence
本文献已被 万方数据 等数据库收录!
点击此处可从《激光与红外》浏览原始摘要信息
点击此处可从《激光与红外》下载全文
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