中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR

文献类型:会议论文

作者Dong, Xiao; Zhang, Yunhua; Zhai, Wenshuai
出版日期2016
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
关键词Compressed sensing inverse problem masking effect noise radar sparse optimization synthetic aperture radar (SAR)
页码6811-6814
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.
英文摘要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.
收录类别CPCI
会议录2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
语种英语
ISSN号2153-6996
ISBN号978-1-5090-3332-4
源URL[http://ir.nssc.ac.cn/handle/122/5759]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Dong, Xiao,Zhang, Yunhua,Zhai, Wenshuai. A SPARSE OPTIMIZATION METHOD FOR MASKING EFFECT REMOVAL IN NOISE SYNTHETIC APERTURE RADAR[C]. 见:36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, PEOPLES R CHINA. JUL 10-15, 2016.

入库方式: OAI收割

来源:国家空间科学中心

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