Multi-level data fusion method

被引:0
|
作者
Lan, JH [1 ]
Ma, BH [1 ]
Zhou, ZY [1 ]
机构
[1] Tsing Hua Univ, Dept Precis Instruments & Mechanol, Beijing 100084, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new method and its application of data fusion technology for target recognition under complex environment in Battle-Field Surveillance Multisensor System (BFSMS). In order to find the most suited method to the system, multi-level data fusion method and its application was discussed. Through experiments and result analysis, it is proved that utilizing a hybrid structure :of combination feature level and decision level is reasonable, and the method can he used in the BFSMS for data fusion of target recognition.
引用
收藏
页码:235 / 238
页数:4
相关论文
共 50 条
  • [31] An InSAR Interferogram Filtering Method Based on Multi-Level Feature Fusion CNN
    Yang, Wang
    He, Yi
    Yao, Sheng
    Zhang, Lifeng
    Cao, Shengpeng
    Wen, Zhiqing
    [J]. SENSORS, 2022, 22 (16)
  • [32] An efficient method to improve iris recognition performance based on multi-level fusion
    Wang, Fenghua
    Zhang, Xinman
    [J]. 2012 INTERNATIONAL WORKSHOP ON IMAGE PROCESSING AND OPTICAL ENGINEERING, 2012, 8335
  • [33] Action Recognition Method Based on Multi-Level Feature Fusion and Temporal Extension
    Wu, Haoyuan
    Xiong, Xin
    Min, Weidong
    Zhao, Haoyu
    Wang, Wenxiang
    [J]. Computer Engineering and Applications, 2023, 59 (07) : 134 - 142
  • [34] Flexible thin parts multi-target positioning method of multi-level feature fusion
    Deng, Yaohua
    Liu, Xiali
    Yang, Kenan
    Li, Zehang
    [J]. IET IMAGE PROCESSING, 2024, 18 (11) : 2996 - 3012
  • [35] Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data
    Fan, Yingying
    Qian, Yurong
    Gong, Weijun
    Chu, Zhuang
    Qin, Yugang
    Muhetaer, Palidan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 257
  • [36] Hierarchical Bayesian learning framework for multi-level modeling using multi-level data
    Jia, Xinyu
    Papadimitriou, Costas
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 179
  • [37] A PGM based multi-level reliability analysis method for Data Cache
    Jiao, Jiajia
    Han, Xing
    Fu, Yuzhuo
    [J]. IEICE ELECTRONICS EXPRESS, 2015, 12 (16):
  • [38] An integrative U method for joint analysis of multi-level omic data
    Pei Geng
    Xiaoran Tong
    Qing Lu
    [J]. BMC Genetics, 20
  • [39] An integrative U method for joint analysis of multi-level omic data
    Geng, Pei
    Tong, Xiaoran
    Lu, Qing
    [J]. BMC GENETICS, 2019, 20 (1)
  • [40] A multi-level method for data-driven finite element computations
    Korzeniowski, Tim Fabian
    Weinberg, Kerstin
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 379 (379)