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| A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method |
| In-Ha Kim, In-Sik Choi, Dae-Young Chae |
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J. Electromagn. Eng. Sci. 2018;18(3):206-211. Published online July 31, 2018 DOI: https://doi.org/10.26866/jees.2018.18.3.206 |
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A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method Journal of Electromagnetic Engineering and Science. 2018;18(3):206-211  Radar target classification method with high accuracy and decision speed performance using MUSIC spectrum vectors and PCA projection Radio Science. 2011;46(5):n/a-n/a A new feature vector using selected bispectra for signal classification with application in radar target recognition IEEE Transactions on Signal Processing. 2001;49(9):1875-1885 A comparative study on feature extraction for fingerprint classification and performance improvements using rank-level fusion Pattern Analysis and Applications. 2009;13(3):263-272 Multi-Feature Fusion Recognition of Space Micromotion Target 2021 CIE International Conference on Radar (Radar). 2021; Research on Radar Target Classification Algorithm Based on Multi-feature Fusion and Deep Learning 2022 34th Chinese Control and Decision Conference (CCDC). 2022; Feature Extraction for Target Classification Using an FMCW Radar Sensor 2022 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT). 2022; Target Classification Enhancement in VHF Radar Using Support Vector Machine Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2016;40(1):51-62 Feature fusion method based on local binary graph for PolSAR image classification IET Radar, Sonar & Navigation. 2023; Domain adaptation for target classification using micro-Doppler spectra in radar networks 2021 IEEE 24th International Conference on Information Fusion (FUSION). 2021; |
