Foliage-concealed Target Detection Based on Deep Learning in Low Frequency UWB SAR Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Foliage-concealed Target Detection Based on Deep Learning in Low Frequency UWB SAR Images

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 CIE International Conference on Radar (Radar)
language:
Short-container-title:

Author:

Xie Hongtu¹,Xie Ni²,Liang Kang¹,Zhang Lin³,Jiang Xinqiao¹,Wang Guoqian⁴

Affiliation:

1. School of Electronics and Communication Engineering, Sun Yat-sen University,Guangzhou,China

2. School of Business, Hunan University of Science and Technology,Xiangtan,China

3. Air Force Early Warning Academy,Department of Early Warning Technology,Wuhan,China

4. Sun Yat-sen University,Sun Yat-sen Memorial Hospital,Guangzhou,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Sun Yat-sen University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10027857/10027626/10028168.pdf?arnumber=10028168

Reference15 articles.

1. New target detection method for FOPEN UWB SAR;fang;Systems Engineering and Electronics,2005

2. ROI extract method for UWB SAR foliage-concealed target detection;yang;Systems Engineering and Electronics,2007

3. Change Detection of Foliage-concealed Targets Based on Deep Neural Network in Low Frequency Ultra-wideband SAR Images

4. Rank-Order Filters for FOPEN Target Detection

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