| 利用主成分背景抑制的红外目标检测 |
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| 引用本文： | 陈炳文,王文伟,秦前清.利用主成分背景抑制的红外目标检测[J].武汉大学学报(信息科学版),2012,37(8):925-928. |
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| 作者姓名： | 陈炳文 王文伟 秦前清 |
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| 作者单位： | 1. 武汉大学电子信息学院,武汉市珞珈山,武汉430072
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,武汉430079 |
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| 基金项目： | 国家973计划资助项目，湖北省自然科学基金重点资助项目，中央高校基本科研业务费专项资金资助项目，国家科技支撑计划资助项目 |
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| 摘 要： | 提出了一种基于主成分背景抑制的红外目标检测算法。首先分析了红外成像的时空相关性,采用主成分分析技术分解时域关联信息抑制背景杂波;接着采用空间关联模糊自适应共振神经网络建立时空背景模型检测目标。实验结果显示,该算法能有效地抑制背景突显目标和检测出复杂场景下的红外目标,其F1指标值高达94.2%。
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| 关 键 词： | 红外目标检测 主成分分析 背景抑制 空间关联自适应共振神经网络 |
Infrared Target Detection Based on Principal Background Suppression |
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| CHEN Bingwen,WANG Wenwei,QIN Qianqing.Infrared Target Detection Based on Principal Background Suppression[J].Geomatics and Information Science of Wuhan University,2012,37(8):925-928. |
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| Authors: | CHEN Bingwen WANG Wenwei QIN Qianqing |
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| Institution: | 1 School of Electronic Information,Wuhan University,Luojia Hill,Wuhan 430072,China)(2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
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| Abstract: | A new infrared target detection approach based on principal background suppression is presented.Through analyzing the spatial-temporal correlation of thermal imagery,the principal component analysis technique is utilized to suppress the background clutters.A spatially related fuzzy ART neural network is applied to build the spatial-temporal background models and detect targets by the suppressed frame information.The experiments have been carried out and the results show that the F1 measurement of our proposed approach is up to 94.2%.It is able to suppress background clutters and highlight targets effectively,and it is capable of detecting targets in complex thermal scene accurately. |
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| Keywords: | infrared target detection principal component analysis background suppression spatially related fuzzy ART neural network |
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