摘要
Using the radar cross section (RCS) sequence of spatial moving targets with different azimuth, elevation angles, and poses, classification of spatial targets are achieved according to their two-dimensional images by deep residual networks. The numerical results show that the two-dimensional radar images can contain sufficient information of the spatial targets and thus exploited by the deep residual networks to achieve good classification.
源语言 | 英语 |
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主期刊名 | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(电子版) | 9781733509657 |
DOI | |
出版状态 | 已出版 - 2023 |
活动 | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 - Hangzhou, 中国 期限: 15 8月 2023 → 18 8月 2023 |
出版系列
姓名 | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 |
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会议
会议 | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 |
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国家/地区 | 中国 |
市 | Hangzhou |
时期 | 15/08/23 → 18/08/23 |
指纹
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Zhang, L., Xue, B., Zhou, Y., Wang, Y., & Pan, X. (2023). Intelligent Classification of Spatial Targets Based on RCS Sequences. 在 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 (2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACES-China60289.2023.10249742