光子学报, 2011, 40 (5): 764, 网络出版: 2011-06-14   

一种利用十字窗口识别红外弱小目标的新方法

A Novel Detection Method of Infrared Dim and Small Target Based on Cross Window
作者单位
1 空军工程大学 工程学院,西安 710038
2 沈阳飞机设计研究所,沈阳110035
摘要
为有效地识别红外图像中的弱小目标,在分析传统识别方法的基础上,提出了一种利用十字窗口识别红外弱小目标的新方法.该方法在待识别点上、下、左、右四个方向以目标大小选取四个参考点构造十字形识别窗口,根据待识别点与参考点之间的灰度梯度识别该像素点是否为目标像素.该方法无需预测背景,可以在低信噪比、强度变化剧烈的图像中获得较高的识别率与较低的虚警率.实验结果表明了该算法的有效性.
Abstract
To detect dim and small target in infrared image, a novel method based on cross window was presented through analyzing traditional methods. The method constructed cross detection window with up, down, left and right reference points around candidate detected point according to the size of target. Based on the grads gradient between candidate detected point and reference points, the points belong to target can be identified. The method does not need background prediction, and achieves higher detection probability and lower false alarm probability in infrared image with low signal noise ratio and strong background. Experimental results show the validity of the method.
参考文献

[1] 苏秀琴, 梁金峰, 陆陶, 等. 海天复杂背景下红外目标的检测跟踪算法[J]. 光子学报, 2009, 38(5): 1309-1312.

    SU Xiu-qin, LIANG Jin-feng, LU Tao, et al. IR target detection & tracking algorithm based on sea-sky background[J]. Acta Photonica Sinica, 2009, 38(5): 1309-1312.

[2] 王文龙, 韩保君, 张红萍. 一种海空背景下红外小目标检测新算法[J]. 光子学报, 2009, 38(3): 725-728.

    WANG Wen-long, HAN Bao-jun, ZHANG Hong-ping. A new algorithm of small target detection for infrared image in background of sea and sky[J]. Acta Photonica Sinica, 2009, 38(3): 725-728.

[3] 许开宇, 冯德瀛. 海空背景下红外弱小目标检测方法[J]. 哈尔滨工程大学学报, 2009, 30(9): 996-1000.

    XU Kai-yu, FENG De-ying. A method for detecting small infrared targets in the sea or sky[J]. Journal of Harbin Engineering University, 2009, 30(9): 996-1000.

[4] 曹原, 杨杰, 刘瑞明. 基于邻域分析TDLMS滤波器的红外小目标检测[J]. 红外与毫米波学报, 2009, 28(3): 235-240.

    CAO Yuan, YANG Jie, LIU Rui-ming. Detecting infrared small target by using TDLMS fliter based on neighborhood analysis[J]. Journal of Infrared and Millimeter Waves, 2009, 28(3): 235-240.

[5] 吴一全, 吴文怡, 罗子娟. 基于最小一乘和遗传算法的红外弱小目标检测[J]. 系统工程与电子技术, 2009, 31(3): 575-578.

    WU Yi-quan, WU Wen-yi, LUO Zi-juan. Infrared small target detection based on least absolute deviation and genetic algorithm[J]. Systems Engineering and Electronics, 2009, 31(3): 575-578.

[6] 郭伟, 赵亦工, 谢振华, 等. 基于非参量统计的云层背景描述与红外弱小目标检测[J]. 红外与毫米波学报, 2008, 27(5): 383-388.

    GUO Wei, ZHAO Yi-gong, XIE Zhen-hua, et al. New method for cloud description and dim small infrared target detection based on nonparametric statistics[J]. Journal of Infrared and Millimeter Waves, 2008, 27(5): 383-388.

[7] 武斌, 姬红兵, 郭辉. 一种新的红外弱小运动目标检测算法[J]. 西安电子科技大学学报, 2009, 36(1): 116-121.

    WU Bin, JI Hong-bing, GUO Hui. New detection algorithm for a small moving target in the infrared image[J]. Journal of Xidian University, 2009, 36(1): 116-121.

[8] 杨进, 杨杰, 王芳林. 一种改进的红外多目标跟踪算法[J]. 上海交通大学学报, 2009, 43(3): 437-442.

    YANG Jin, YANG Jie, WANG Fang-lin. An improved algorithm for multiple infrared targets tracking[J]. Journal of Shanghai Jiaotong University, 2009, 43(3): 437-442.

[9] 武斌. 红外弱小目标检测技术研究[D]. 西安:西安电子科技大学, 2008,12:15-16.

    WU Bin. Research on the deteetion of small and dim targets in infrared images[D]. Xi′an: Xidian University, 2008, 12: 15-16.

[10] 徐军, 向健华, 粱昌洪. 最大化背景模型用于检测红外图像中的弱小目标[J]. 光子学报, 2002,31(12): 1483-1486.

    XU Jun, XIANG Jian-hua, LIANG Chang-hong. Small target detection based on maximum background model in IR images[J]. Acta Photonica Sinica, 2002, 31(12): 1483-1486.

[11] RIED M J. Optical design fundamentals for infrared systems[M]. 2nd ed. Washington: SPIE Press, 2001.

万明, 张凤鸣, 雷洪利, 禚真福. 一种利用十字窗口识别红外弱小目标的新方法[J]. 光子学报, 2011, 40(5): 764. WAN Ming, ZHANG Feng-ming, LEI Hong-li, ZHUO Zhen-fu. A Novel Detection Method of Infrared Dim and Small Target Based on Cross Window[J]. ACTA PHOTONICA SINICA, 2011, 40(5): 764.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!