Katherine Kong
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Paper Publications
Multi-target CFAR detection based on SAR imagery of complex background
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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

Personal information

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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