[1]邹子强,刘星,张雪峰.弹载线阵扫描激光雷达的目标识别算法[J].探测与控制学报,2019,41(01):43.[doi:.]
 ZOU Ziqiang,LIU Xing,ZHANG Xuefeng.Target Recognition Algorithm of Linear Array Scanning Laser Radar [J].,2019,41(01):43.[doi:.]
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弹载线阵扫描激光雷达的目标识别算法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
41
期数:
2019年01
页码:
43
栏目:
出版日期:
2019-03-15

文章信息/Info

Title:
Target Recognition Algorithm of Linear Array Scanning Laser Radar
文章编号:
1008-1194(2019)01-0043-05
作者:
邹子强1刘星1张雪峰2
1.西安工业大学电子信息工程学院,陕西 西安 710021;2.北京宇航系统工程研究所,北京 100076
Author(s):
ZOU Ziqiang1LIU Xing1ZHANG Xuefeng2
1.Electronic Information Engineering College, Xi’an Technological University, Xi’an 710021, China; 2.Beijing Institute of Astronautical Systems Engineering,Beijing 100076, China
关键词:
激光雷达 线阵扫描 目标识别 BP神经网络
Keywords:
laser radar linear array scanning target recognition BP neural network
分类号:
TN249
DOI:
.
文献标志码:
A
摘要:
针对现有算法对稀疏图像识别率不高的问题,提出了基于目标顶部特征的BP神经网络目标识别算法。该算法通过分析模拟目标的线阵扫描数据,应用统计算法提取目标顶部轮廓数据特征,建立目标三维特征图模型,采用最小生成树Prim算法得到目标顶部轮廓空间分布特征,在此基础上设计了对目标特征分类的BP神经网络。仿真结果表明,该算法简单易于实现,并且在预测误差error≤0.015时,该算法对目标稀疏图像有较好的识别效果。
Abstract:
Aiming at the low recognition rate for sparse images in using existing methods,an target recognition algorithm of neural network based on target top profile features was presented in the paper. The method analyzed the linear array scanning data of target,and extracted the target’s contour data characteristics with statistical methods, then the minimal spanning tree prim algorithm was used to get the spatial distribution characteristics of target top profile on the basis of 3-D feature graph model about target’s top contour. Based on which, a BP neural network algorithm for classification of target characteristics was designed. The simulation result showed that the arithmetic is simple and easy to implement,and had preferable effect in discerning the sparse image of targets.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-09-04
作者简介:邹子强(1992—),男,湖北黄石人,硕士研究生,研究方向:激光近场探测与目标识别。E-mail:zouziq@126.com
更新日期/Last Update: 2019-03-28