@inproceedings{0b546492be3543ef900adf68cace147f,
title = "Polarization HRRP Target Recognition Neural Network Based on Adaptive Feature Fusion",
abstract = "A novel dual-polarization HRRP feature fusion neural network is proposed to exploit complementary information from HH and VH polarizations. Experiments on a dataset of ten low-orbit satellites demonstrate that the proposed network outperforms single-polarization methods in fine-grained recognition, maintaining high accuracy across various SNR conditions, thus validating its robustness in complex electromagnetic environments.",
keywords = "Deep Learning, Feature Fusion, Polarization Features, Radar Target Recognition",
author = "Yangbo Zhou and Xiaomin Pan and Sen Liu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 8th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2025 ; Conference date: 10-10-2025 Through 12-10-2025",
year = "2025",
doi = "10.1109/ISEMC68048.2025.11292261",
language = "English",
series = "ISEMC 2025 - 8th International Symposium on Electromagnetic Compatibility, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISEMC 2025 - 8th International Symposium on Electromagnetic Compatibility, Proceedings",
address = "United States",
}