红外在轨船只目标检测方法研究Research on infrared on-orbit ship target detection method
王文秀,傅雨田,董峰,李锋
摘要(Abstract)：
为了较好检测红外在轨船只目标,首先建立船只小目标Hu矩特征数据库,紧接着对预处理后的红外在轨图像(测试图像)进行二值化运算;考虑相关散点的影响,采用开运算对其进行消除,得到较为完整的连通区域并进行矩特征分析;最后,矩特征跟特征库匹配,在限定阈值范围内则视为船只目标,并进行标记,识别效果精度高,可有效区分岸边区域。该算法可快速实现特征提取与匹配,有效实现特定区域船只目标统计,对快速准确检测海上舰船目标具有重要的研究价值。
关键词(KeyWords)： 在轨目标;连通区域;红外图像;船只识别;矩特征;海上舰船目标
基金项目(Foundation): 国家“863”高科技研究与发展项目:天基视频探测技术(2015AAxxx5097)~~
作者(Author): 王文秀,傅雨田,董峰,李锋
DOI: 10.16652/j.issn.1004-373x.2018.14.023
参考文献(References)：
- [1]王彦情,马雷,田原.光学遥感图像舰船目标检测与识别综述[J].自动化学报,2011,37(9):1029-1039.WANG Yanqing,MA Lei,TIAN Yuan.State-of-the-art of ship detection and recognition in optical remotely sensed imagery[J].Acta automatica sinica,2011,37(9):1029-1039.
- [2]WANG Xiaolong,CHEN Cuixia.A fast line-scanning-based detection algorithm for real-time SAR ship detection[J].Original paper,2015(9):1975-1982.
- [3]HUANG Shiqi,LIU Daizhi,GAO Guiqing,et al.A novel method for speckle noise reduction and ship target detection in SAR images[J].Pattern recognition,2009,42(7):1533-1542.
- [4]ZHAO Zhi,JI Kefeng,XING Xiangwei,et al.Ship surveillance by integration of space-borne SAR and AIS:review of current research[J].Journal of navigation,2014,67(1):177-189.
- [5]KIM S,SONG W J,KIM S H.Robust ground target detection by SAR and IR sensor fusion using Adaboost-based feature selection[J].Sensors,2016,16(7):1-27.
- [6]张振.高分辨率可见光遥感图像港口及港内目标识别方法研究[D].合肥:中国科学技术大学,2009.ZHANG Zhen.A study on harbor target recognition in high resolution optical remote sensing image[D].Hefei:University of Science and Technology of China,2009.
- [7]杨晓.红外图像的目标识别技术研究[D].太原:中北大学,2009.YANG Xiao.Research on technologies of infrared images target recognition[D].Taiyuan:North University of China,2009.
- [8]章学静,陈禾,马龙,等.一种基于子图特征的快速图像配准算法[J].北京理工大学学报,2015,35(7):744-749.ZHANG Xuejing,CHEN He,MA Long,et al.Fast image registration algorithm based on sub-image features[J].Transactions of Beijing Institute of Technology,2015,35(7):744-749.
- [9]LI Miao,LONG Yunli,LI Jun,et al.Complex morphology small targets detection based on spatial-temporal sparse recovery in infrared surveillance system[C]//Proceedings of 2nd Space Target and Debris Monitoring and Cleaning Technology and Its Application Academic Conference.Suzhou:Chinese Society for optical engineering,2015:1-4.
- [10]李俊山.基于特征的红外图像目标匹配与跟踪技术[M].北京:科学出版社,2014.LI Junshan.Feature based target matching and tracking technique for infrared image[M].Beijing:Science Press,2014.
- [11]HU Mingkuei.Visual pattern recognition by moment invariants[J].IRE transactions on information theory,1962,8(2):179-187.
- [12]曾接贤,付俊,符祥.特征点和不变矩结合的遥感图像飞机目标识别[J].中国图象图形学报,2014,19(4):592-602.ZENG Jiexian,FU Jun,FU Xiang.Aircraft target recognition in remote sensing images based on distribution of the feature points and invariant moments[J].Journal of image and graphics,2014,19(4):592-602.
- [13]张毓晋.图像分析(中册)[M].北京:清华大学出版社,2012:310-315.ZHANG Yujin.Image analysis(Vol.II)[M].Beijing:Tsinghua University Press,2012:310-315.
- [14]Ronny.图像分析:二值图像连通域标记[EB/OL].[2014-03-14].www.cnblogs.com/ronny/p/img_aly_01.html.Ronny.Image analysis:connected area labeling of binary images[EB/OL].[2014-03-14].www.cnblogs.com/ronny/p/img_aly_01.html.
- [15]杜庆海,于忠清,张佳.基于不变矩特征的图像识别[J].信息技术与信息化,2008(6):96-97.DU Qinghai,YU Zhongqing,ZHANG Jia.Image searching and recognition based on moment invariant[J].Information technology and informatization,2008(6):96-97.
- [16]王瑞凤,杨宪江,吴伟东.发展中的红外热成像技术[J].红外与激光工程,2008,37(z2):699-702.WANG Ruifeng,YANG Xianjiang,WU Weidong.Development of infrared thermal imaging technology[J].Infrared and laser engineering,2008,37(S2):699-702.