Target Recognition Using Sparse Representation: A Performance Comparison

机译：使用稀疏表示的目标识别：性能比较

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摘要

This paper compares two sparse representation techniques for classifying high range resolution profiles (HRRP) of four commercial aircraft models with real backscatter data as recorded in a compact range. Adverse scenarios such as azimuth ambiguity, additive noise, occlusion, extraneous scatterers, and azimuth mismatch are all considered.

机译：本文比较了两个稀疏表示技术，用于分类四种商用飞机模型的高范围分辨率型材（HRRP），其具有真正的反向散射数据，如紧凑的范围内记录。诸如方位模糊，添加剂噪声，闭塞，外来散射体和方位角不匹配的不利场景。

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《IEEE International Symposium on Antennas and Propagation》|2018年|630p|共2页
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作者
Ismail Jouny;
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正文语种
中图分类天线;
关键词
Azimuth; Target recognition; Radar; Matching pursuit algorithms; Atmospheric modeling; Data models; Backscatter;

机译：方位角;目标识别;雷达;匹配追求算法;大气建模;数据模型;后散射;

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专利

1. Joint sparse representation for multi-resolution representations of SAR images with application to target recognition [J] . Zhang Zhenyu, Liu Sikai Journal of Electromagnetic Waves and Applications . 2018,第10a12期

机译：具有应用于目标识别的SAR图像的多分辨率表示的联合稀疏表示
2. Hierarchical Recognition System for Target Recognition from Sparse Representations [J] . Cui Zongyong, Cao Zongjie, Yang Jianyu, Mathematical Problems in Engineering . 2015,第PTa17期

机译：基于稀疏表示的目标识别层次识别系统
3. Hierarchical Recognition System for Target Recognition from Sparse Representations [J] . ZongyongCui, ZongjieCao, JianyuYang, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第4期

机译：基于稀疏表示的目标识别层次识别系统
4. Target Recognition Using Sparse Representation: A Performance Comparison [C] . Ismail Jouny IEEE International Symposium on Antennas and Propagation;USNC/URSI National Radio Science Meeting . 2018

机译：使用稀疏表示的目标识别：性能比较
5. Sparse and Low-Rank Representation-Based Methods for Multimodal Clustering and Recognition [D] . Abavisani, Mahdi. 2021

机译：基于稀疏和低秩的多模式聚类和识别的方法
6. Image Target Recognition via Mixed Feature-Based Joint Sparse Representation [O] . Xin Wang, Can Tang, Ji Li, 2020

机译：通过混合特征的关节稀疏表示图像目标识别
7. SAR Image Target Recognition Based on Monogenic Signal and Sparse Representation [O] . XiuXia Ji, Yinan Sun 2021

机译：基于单一的信号和稀疏表示的SAR图像目标识别
8. Joint Sparse Representation for Robust Multimodal Biometrics Recognition. [R] . Patel, V. M., Nasrabadi, N. M., Chellappa, R., 2014

机译：鲁棒多模态生物特征识别的联合稀疏表示。

Target Recognition Using Sparse Representation: A Performance Comparison

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