Affiliation of Author(s):电子信息工程学院
Journal:Lect. Notes Eng. Comput. Sci.
Abstract:Aiming at the wide application of constant false alarm rate (CFAR) algorithm in target detection of synthetic aperture radar (SAR) image, CFAR algorithm is analyzed and used for multi-target detection of complex background SAR images. Firstly, iteration algorithm is used to improve the automatic censoring detector. Secondly, combine with the priori knowledge of background to detect the desired targets. Finally, use decision fusion (or operation) to get multi-target detection image. Experiments show that the algorithm proposed in the paper can not only detect multi-targets in complex background, but also make the detection rate reach more than 80%.
ISSN No.:2078-0958
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Nie, Chunxia,gf,Xing, Shiyu,Leung, Henry
Correspondence Author:孔莹莹,Nie, Chunxia,Katherine Kong
Associate Professor
Supervisor of Master's Candidates
Gender:Female
Alma Mater:南京航空航天大学
Education Level:南京航空航天大学
Degree:Doctoral Degree in Engineering
School/Department:College of Electronic and Information Engineering
Discipline:Signal and Information Processing
Business Address:电子信息工程学院办公楼328
Contact Information:邮箱:yayako_zy@nuaa.edu.cn QQ:27829342
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