Improved Sparse Representation of Open Set HRRP Recognition Method
Author:
Affiliation:
1. National University of Defense Technology,National Key Laboratory of Science and Technology on Automatic Target Recognition,Changsha,China
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10280769/10280777/10280852.pdf?arnumber=10280852
Reference15 articles.
1. Open Set Radar HRRP Recognition Based on Random Forest and Extreme Value Theory[C];yanhua,0
2. Open set HRRP recognition based on convolutional neural network [J];wei;The Journal of Engineering,2019
3. Spin-off Extreme Value and Archimedean copulas for estimating the bivariate structural risk
4. Multi-class open set recognition for SAR imagery[C];matthew,0
5. Open set SAR target classification[C];edmund;Proc SPIE 10987 Algorithms for Synthetic Aperture Radar Imagery XXVI for US,2019
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1. Radar sequence HRRP target recognition based on DRSN-LSTM;2024 8th International Conference on Control Engineering and Artificial Intelligence;2024-01-26
2. Small Sample Target Recognition Based on Radar HRRP and SDAE-WACGAN;IEEE Access;2024
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