@inproceedings{1616901330304591a01d56a8d0412046,
title = "Intelligent Classification of Spatial Targets Based on RCS Sequences",
abstract = "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.",
keywords = "Radar RCS, ResNet, Space target imaging, Target classification",
author = "Liang Zhang and Bowen Xue and Yangbo Zhou and Yunchuan Wang and Xiaomin Pan",
note = "Publisher Copyright: {\textcopyright} 2023 Applied Computational Electromagnetics Society (ACES).; 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 ; Conference date: 15-08-2023 Through 18-08-2023",
year = "2023",
doi = "10.23919/ACES-China60289.2023.10249742",
language = "English",
series = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
address = "United States",
}