PERFORMANCE ENHANCEMENT OF TARGET RECOGNITION USING FEATURE VECTOR FUSION OF MONOSTATIC AND BISTATIC RADAR-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

PERFORMANCE ENHANCEMENT OF TARGET RECOGNITION USING FEATURE VECTOR FUSION OF MONOSTATIC AND BISTATIC RADAR

Published:2014 Issue: Volume:144 Page:291-302
ISSN:1559-8985
Container-title:Progress In Electromagnetics Research
language:en
Short-container-title:PIER

Author:

Lee Seung-Jae,Choi In-Sik,Cho Byunglae,Rothwell Edward J.,Temme Andrew K.

Publisher

The Electromagnetics Academy

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://www.jpier.org/download/13103101.pdf

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modal ordered shape factors as radar feature set;IET Radar, Sonar & Navigation;2024-06-24

2. Enhancing the SEM Signature via the Optimum Onset With a Bistatic and Cross-Polarization Radar Configuration;IEEE Access;2020

3. Binary Stokes vector representation of aircraft in the low‐resolution radar context;IET Radar, Sonar & Navigation;2019-11

4. RADAR TARGET RECOGNITION BY FREQUENCY-DIVERSITY RCS TOGETHER WITH KERNEL SCATTER DIFFERENCE DISCRIMINATION;Progress In Electromagnetics Research M;2019

5. A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method;Journal of Electromagnetic Engineering and Science;2018-07-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP