A Multi-Domain Feature Extraction Method for Aircraft Target Recognition Based on JEM Radar Echo

The paper proposes a multi domain feature extraction method for aircraft target recognition using radar airborne target JEM echoes. The feature extraction is carried out in signal domains such as time domain, frequency domain, and time-frequency domain to form feature vectors, which are then used to identify airborne targets using SVM algorithm. The simulation results show that the target recognition rate of the proposed method for the twenty types of air targets proposed in the simulation is 91.11%, which proves the effectiveness of the method.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3707292.3707388
Primary Topic
Advanced SAR Imaging Techniques
Type
article
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article

A Multi-Domain Feature Extraction Method for Aircraft Target Recognition Based on JEM Radar Echo

Xiang Niu, Ming Long, Baoju Wang, Tan Xiansi et al.
Advanced SAR Imaging Techniques
article

A Multi-Domain Feature Extraction Method for Aircraft Target Recognition Based on JEM Radar Echo

Xiang Niu, Ming Long, Baoju Wang, Tan Xiansi, Zhiguo Qu, Ke Liu
article en

Abstract

The paper proposes a multi domain feature extraction method for aircraft target recognition using radar airborne target JEM echoes. The feature extraction is carried out in signal domains such as time domain, frequency domain, and time-frequency domain to form feature vectors, which are then used to identify airborne targets using SVM algorithm. The simulation results show that the target recognition rate of the proposed method for the twenty types of air targets proposed in the simulation is 91.11%, which proves the effectiveness of the method.

Tibet Autonomous Region People's Hospital (CN)
Openalex Percentile: Top 55%
Advanced SAR Imaging Techniques
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A Multi-Domain Feature Extraction Method for Aircraft Target Recognition Based on JEM Radar Echo — Xiang Niu, Ming Long, et al. · (2024) | TGRS Research Map | TGRS