Zernike Moment Based Time Sensitive Targets Detection and Recognition

被引：0
|
作者：
Jin, Songzhi [1 ]
Li, Shaojun [1 ]
Sun, Peng [1 ]
Cai, Wei [1 ]
机构：
[1] Beijing Aerosp Automat Control Inst, Natl Key Lab Sci & Technol Aerosp Intelligent Con, Beijing 100854, Peoples R China
来源：
2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The ground time sensitive targets have high mobility. It is hard to use traditional template matching method to detect and recognize the targets since their attitude angles are not known. To make matters worse, the complicated background and grayscale reversal always cover the target like airplane and warship. This paper proposes a method based on 2D Zernike moment and Adaboost algorithm to detect and recognize the time sensitive targets. The experimental result indicates that the method is efficient.
引用
收藏
页码：1708 / 1711
页数：4
相关论文
共 50 条
  • [31] An adaptive sub-pixel edge detection method based on improved Zernike moment
    Mo J.
    Yan H.
    Liu J.
    International Journal of Wireless and Mobile Computing, 2022, 22 (02): : 140 - 147
  • [32] Underwater targets recognition based on contour moment and modified FCM algorithm
    Wang, S.-L. (wangshilong@hrbeu.edu.cn), 1600, Systems Engineering Society of China (32):
  • [33] OBJECT RECOGNITION BY A COMPLETE SET OF PSEUDO-ZERNIKE MOMENT INVARIANTS
    Zhang, Hui
    Dong, Zhifang
    Shu, Huazhong
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 930 - 933
  • [34] Loop Closure Detection Using Local Zernike Moment Patterns
    Sariyanidi, Evangelos
    Sencan, Onur
    Temeltas, Hakan
    INTELLIGENT ROBOTS AND COMPUTER VISION XXX: ALGORITHMS AND TECHNIQUES, 2013, 8662
  • [35] Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment
    Ge, Xinfeng
    Zhang, Jing
    Zhou, Ye
    Cai, Jianguo
    Zhang, Hui
    Hua, Hongchang
    Chen, Dong
    Zhao, Ming
    Du, Jinqi
    Zheng, Yuan
    SHOCK AND VIBRATION, 2021, 2021
  • [36] Improving Detection of Low SNR Targets Using Moment-based Detection
    Young, Shannon R.
    Steward, Bryan J.
    Hawks, Michael
    Gross, Kevin C.
    AIRBORNE INTELLIGENCE, SURVEILLANCE, RECONNAISSANCE (ISR) SYSTEMS AND APPLICATIONS XIII, 2016, 9828
  • [37] Perceptual audio hashing algorithm based on Zernike moment and maximum-likelihood watermark detection
    Chen, Ning
    Xiao, Hai-dong
    DIGITAL SIGNAL PROCESSING, 2013, 23 (04) : 1216 - 1227
  • [38] Sub-pixel edge detection method based on improved morphological gradient and Zernike moment
    Wei, Benzheng
    Zhao, Zhimin
    Hua, Jin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2010, 31 (04): : 838 - 844
  • [39] Sub-Pixel Edge Detection Algorithm Based on Canny-Zernike Moment Method
    Huang, Cheng
    Jin, Wei
    Xu, Qian
    Liu, Ziqi
    Xu, Zhiliang
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2020, 29 (15)
  • [40] Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection
    Zhang, Yue
    Luo, Xiangyang
    Guo, Yanqing
    Qin, Chuan
    Liu, Fenlin
    IEEE ACCESS, 2019, 7 : 24282 - 24289
12345