NSSC OpenIR  > 微波遥感部
A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR
Dong, Xiao; Zhang, Yunhua; Zhai, Wenshuai; Dong, X (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
作者部门微波遥感部
会议录名称2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2016
页码6811-6814
语种英语
ISSN号2153-6996
ISBN号978-1-5090-3332-4
摘要In this paper, we propose a sparse optimization method to suppress the masking effect of noise synthetic aperture radar (SAR) imaging. The transmitted noise waveforms have large fluctuations in the spectrum, which results in high-level sidelobes in the range direction. Weak targets can be masked by the sidelobes of strong targets when traditional matched filtering (MF) is applied. Inspired by the idea of compressed sensing (CS), we formulate the noise SAR imaging process as solving an inverse problem from incomplete random frequency measurements, and then reconstruct the noise SAR image using sparse optimization method. Experimental results on real airborne noise SAR data are presented to show the effectiveness of the proposed method.
关键词Compressed Sensing Inverse Problem Masking Effect Noise Radar Sparse Optimization Synthetic Aperture Radar (Sar)
会议名称36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 10-15, 2016
会议地点Beijing, PEOPLES R CHINA
收录类别EI ; CPCI
文献类型会议论文
条目标识符http://ir.nssc.ac.cn/handle/122/5759
专题微波遥感部
通讯作者Dong, X (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
推荐引用方式
GB/T 7714
Dong, Xiao,Zhang, Yunhua,Zhai, Wenshuai,et al. A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR[C],2016:6811-6814.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
201607730778.pdf(513KB)会议论文 开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Dong, Xiao]的文章
[Zhang, Yunhua]的文章
[Zhai, Wenshuai]的文章
百度学术
百度学术中相似的文章
[Dong, Xiao]的文章
[Zhang, Yunhua]的文章
[Zhai, Wenshuai]的文章
必应学术
必应学术中相似的文章
[Dong, Xiao]的文章
[Zhang, Yunhua]的文章
[Zhai, Wenshuai]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。