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鲁棒的红外小目标视觉显著性检测方法

王刚 陈永光 杨锁昌 高敏 戴亚平

王刚, 陈永光, 杨锁昌, 等 . 鲁棒的红外小目标视觉显著性检测方法[J]. 北京航空航天大学学报, 2015, 41(12): 2309-2318. doi: 10.13700/j.bh.1001-5965.2014.0834
引用本文: 王刚, 陈永光, 杨锁昌, 等 . 鲁棒的红外小目标视觉显著性检测方法[J]. 北京航空航天大学学报, 2015, 41(12): 2309-2318. doi: 10.13700/j.bh.1001-5965.2014.0834
WANG Gang, CHEN Yongguang, YANG Suochang, et al. Robust visual saliency detection method for infrared small target[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2309-2318. doi: 10.13700/j.bh.1001-5965.2014.0834(in Chinese)
Citation: WANG Gang, CHEN Yongguang, YANG Suochang, et al. Robust visual saliency detection method for infrared small target[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2309-2318. doi: 10.13700/j.bh.1001-5965.2014.0834(in Chinese)

鲁棒的红外小目标视觉显著性检测方法

doi: 10.13700/j.bh.1001-5965.2014.0834
基金项目: 国家自然科学基金(61141009);装备预研重点基金(9140A05040114JB34015);装备预研基金(9140A0505313JB34001)
详细信息
    作者简介:

    王刚(1988-),男,山东日照人,博士研究生,g_wang@foxmail.com

    通讯作者:

    高敏(1963-),男,山西临汾人,教授,博士生导师,gaomin1964@yeah.net,主要研究方向为弹箭信息化理论与技术、多用途导弹设计与评估.

  • 中图分类号: V249.32+6;TP391;TN215

Robust visual saliency detection method for infrared small target

  • 摘要: 鲁棒的红外(IR)小目标检测是自动目标检测的关键技术,低信噪比条件下的红外小目标检测一直是业内研究热点.为了能有效地检测红外小目标,对红外小目标若干表观特征及其视觉显著性进行了分析,提出一种基于多尺度图像块统计序对比度(MOCIP)的红外小目标视觉显著性鲁棒检测方法,采用两步级联多尺度图像块统计序对比度算法抑制背景和噪声,提升目标强度,获得红外小目标显著性图,并利用自适应阈值实现目标检测.本文详细给出了红外小目标视觉显著性的检测算法,使用红外小目标图像对检测性能进行了实验验证,并与其他检测方法进行了对比.实验结果表明,所提出的方法能够在低信噪比条件下克服噪声和复杂背景的影响,有效地对红外小目标视觉显著性进行检测.

     

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出版历程
  • 收稿日期:  2014-12-31
  • 修回日期:  2015-01-30
  • 刊出日期:  2015-12-20

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