留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

舰船尾迹光学信号特征的直方图提取方法

陈明荣 迟卫 谢田华 金良安

陈明荣, 迟卫, 谢田华, 金良安. 舰船尾迹光学信号特征的直方图提取方法[J]. 应用光学, 2013, 34(2): 248-254.
引用本文: 陈明荣, 迟卫, 谢田华, 金良安. 舰船尾迹光学信号特征的直方图提取方法[J]. 应用光学, 2013, 34(2): 248-254.
CHEN Ming-rong, CHI Wei, XIE Tian-hua, JIN Liang-an. Histogram extraction method of optical signal features of ship wake[J]. Journal of Applied Optics, 2013, 34(2): 248-254.
Citation: CHEN Ming-rong, CHI Wei, XIE Tian-hua, JIN Liang-an. Histogram extraction method of optical signal features of ship wake[J]. Journal of Applied Optics, 2013, 34(2): 248-254.

舰船尾迹光学信号特征的直方图提取方法

详细信息
    通讯作者:

    陈明荣(1985-),男,江西临川人,博士研究生,主要从事舰船尾迹信号特征提取与抑制研究工作。 Email:ming19850216@163.com

  • 中图分类号: TN911.73

Histogram extraction method of optical signal features of ship wake

  • 摘要: 现有舰船尾迹光学信号特征提取方法普遍存在运算复杂、处理速度不快等问题,研究基于直方图分析的舰船尾迹光学信号特征快速提取方法。根据舰船尾迹图像直方图具有明显的双峰特征,提出用峰值点分布密集程度kdd和尾迹区与海水背景区像素灰度值均值比Ci2个参数来表征舰船尾迹光学信号特征强度,通过专门研制的海上特征提取实验装置进行特征提取实验分析。分析结果表明:这2个参数能定量可靠地描述舰船尾迹光学信号特征强度的变化规律,并且在特征提取中具有简单快速的优势,从读进一张舰船尾迹图像到利用MATLAB软件计算出其特征参数值,电脑处理时间约为0.07 s。
  • [1]中国船舶重工集团公司. 海军武器装备与海战场环境概论[M]. 北京: 海洋出版社, 2007.
    CSIC. Introduction about naval weapons and equipment and sea battlefield environment[M]. Beijing: Ocean Press, 2007. (in Chinese)
    [2]陈春玉. 反鱼雷技术[M]. 北京: 国防工业出版社, 2006.
    CHEN Chun-yu . The anti-torpedo technology[M]. Beijing: National Defence Industey Press, 2006. (in Chinese)
    [3]REY M T. Use of the dempster-shafer algorithm for the detection of SAR ship wake[J]. IEEE Trans. GRS, 1993, 31(5): 1114-1118.
    [4]COPELAND A C, RAVICHANDRAN G, TRIVEDI M M. Localized radon transform-based detection of ship wakes in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(1): 35-45.
    [5]张建生, 林书玉, 苗润才,等. 尾流散射光性质的一维小波变换分析[J]. 应用光学, 2007,28(3) :245-250.
    ZHANG Jian-sheng, LIN Shu-yu, MIAO Run-cai, et al. One-dimensional wavelet transformation analysis on specialty of scattered light from ship wakes[J]. Journal of Applied Optics, 2007,28(3):245-250. (in Chinese with an English abstract)
    [6]王世庆, 金亚秋. SAR图像船行尾迹检测的Radon变换和形态学图像处理技术[J]. 遥感学报, 2001,5(4): 289-294.
    WANG Shi-qing, JIN Ya-qiu. Ship wake detection in SAR images based on Radon transformation and morphologic image processing[J]. Journal of Remote Sensing, 2001,5(4): 289-294. (in Chinese with an English abstract)
    [7]吴强, 王新赛, 贺明,等. 一种结合小波分析与直方图的红外图像增强方法[J]. 应用光学, 2011,32(3):464-467.
    WU Qiang, WANG Xin-sai, HE Ming,et al. Infrared image enhancement based on wavelet analysis and histogram[J]. Journal of Applied Optics, 2011,32(3):464-467. (in Chinese with an English abstract)
    [8]娄树理, 周晓东. 基于直方图分析的红外仿真图像验证方法研究[J]. 激光与红外, 2011,41(11): 1273-1277.
    LOU Shu-li, ZHOU Xiao-dong. IR simulated image assessment based on histogram analysis[J]. Laser & Infrared, 2011,41(11): 1273-1277. (in Chinese with an English abstract)
    [9]龚金云, 全思博. 基于灰度图像直方图的边缘检测[J]. 装备制造技术, 2007(2): 50-52.
    GONG Jin-yun, QUAN Si-bo. Edge detection based on gray image histogram[J]. Equipment Manufacturing Technology, 2007(2): 50-52. (in Chinese with an English abstract)
    [10]王丙文, 刘京南. 模糊阈值分割算法在具有双峰直方图图像中的应用[J]. 现代电子技术, 2001(10): 3-5.
    WANG Bing-wen, LIU Jing-nan. The application of segmentation algorithm of fuzzy threshold value in histogram image with double peak[J]. Modern Electronic Technique, 2001(10): 3-5. (in Chinese with an English abstract)
    [11]史晓希, 杜慧茜, 梅文博. 一种自适应二值化的毫米波图像边缘检测方法[J]. 光电工程, 2004,31(12): 61-63.
    SHI Xiao-xi, DU Hui-qian, MEI Wen-bo. Millimeter-wave image edge detection based on adaptive binarization[J]. Opto-electronic Engineering, 2004,31(12): 61-63. (in Chinese with an English abstract)
  • 加载中
计量
  • 文章访问数:  2210
  • HTML全文浏览量:  78
  • PDF下载量:  398
  • 被引次数: 0
出版历程
  • 刊出日期:  2013-03-15

目录

    /

    返回文章
    返回