跳到主要导航 跳到搜索 跳到主要内容

Modified nearest neighbor fuzzy classification algorithm for ship target recognition

  • Xiankang Liu*
  • , Baofa Wang
  • , Xiaojian Xu
  • , Jing Liang
  • , Jie Ren
  • , Cunwei Wei
  • *此作品的通讯作者
  • Beihang University
  • No.701 Factory of PLA(N)

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.

源语言英语
主期刊名Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
2254-2258
页数5
DOI
出版状态已出版 - 2011
活动2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, 中国
期限: 21 6月 201123 6月 2011

出版系列

姓名Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

会议

会议2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
国家/地区中国
Beijing
时期21/06/1123/06/11

学术指纹

探究 'Modified nearest neighbor fuzzy classification algorithm for ship target recognition' 的科研主题。它们共同构成独一无二的学术指纹。

引用此