Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition
We explore the blending of model-based and deep learning approaches for target
recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different …
recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different …
Three dimension airborne SAR imaging of rotational target with single antenna and performance analysis
R Cao, Y Wang, S Sun, Y Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For the target with 3-D rotation, the 3-D synthetic aperture radar (SAR) imaging is very
important for the feature extraction and classification. To solve this issue, a novel 3-D …
important for the feature extraction and classification. To solve this issue, a novel 3-D …
[HTML][HTML] Hybrid integration method for highly maneuvering radar target detection based on a Markov motion model
Z Yingxiao, C Zengping, Y Zhang, C Jie, Y Jiong… - Chinese Journal of …, 2020 - Elsevier
To detect highly maneuvering radar targets in low signal-to-noise ratio conditions, a hybrid
long-time integration method is proposed, which combines Radon-Fourier Transform (RFT) …
long-time integration method is proposed, which combines Radon-Fourier Transform (RFT) …