首页|Ship recognition based on HRRP via multi-scale sparse preserving method

Ship recognition based on HRRP via multi-scale sparse preserving method

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In order to extract the richer feature information of ship targets from sea clutter,and address the high dimensional data problem,a method termed as multi-scale fusion kernel sparse preserving projection(MSFKSPP)based on the maxi-mum margin criterion(MMC)is proposed for recognizing the class of ship targets utilizing the high-resolution range profile(HRRP).Multi-scale fusion is introduced to capture the local and detailed information in small-scale features,and the global and contour information in large-scale features,offering help to extract the edge information from sea clutter and further improv-ing the target recognition accuracy.The proposed method can maximally preserve the multi-scale fusion sparse of data and maximize the class separability in the reduced dimensionality by reproducing kernel Hilbert space.Experimental results on the measured radar data show that the proposed method can effec-tively extract the features of ship target from sea clutter,further reduce the feature dimensionality,and improve target recogni-tion performance.

ship target recognitionhigh-resolution range profile(HRRP)multi-scale fusion kernel sparse preserving projection(MSFKSPP)feature extractiondimensionality reduction

YANG Xueling、ZHANG Gong、SONG Hu

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College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

Key Lab of Radar Imaging and Microwave Photonics,Ministry of Education,Nanjing 210016,China

Nanjing Marine Radar Institute,Nanjing 210016,China

国家自然科学基金中央高校基本科研业务费专项Aeronautical Science FoundationProgram of Remote Sensing Intelligent Monitoring and Emergency Services for Regional Security Elements

62271255618712183082019NC2019002ASFC-201920007002

2024

10.23919/JSEE.2023.000136

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(3)
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