A comprehensive survey on SAR ATR in deep-learning era
J Li, Z Yu, L Yu, P Cheng, J Chen, C Chi - Remote Sensing, 2023 - mdpi.com
Due to the advantages of Synthetic Aperture Radar (SAR), the study of Automatic Target
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …
SAR target incremental recognition based on hybrid loss function and class-Bias correction
The Synthetic Aperture Radar (SAR) target recognition model usually needs to be retrained
with all the samples when there are new-coming samples of new targets. Incremental …
with all the samples when there are new-coming samples of new targets. Incremental …
Recognition for SAR deformation military target from a new MiniSAR dataset using multi-view joint transformer approach
Accurately detecting ground armored weapons is crucial for achieving initiative advantages
in military operations. Generally, satellite or airborne synthetic aperture radar (SAR) systems …
in military operations. Generally, satellite or airborne synthetic aperture radar (SAR) systems …
An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition
X Jiang, T Liu, Y Liu, S Zhang, H Lin… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Achieving automatic target recognition in synthetic aperture radar (SAR) imagery is a long-
standing difficulty because of the limited training samples and its sensitivity to imaging …
standing difficulty because of the limited training samples and its sensitivity to imaging …
Position-Aware Graph Neural Network for Few-Shot SAR Target Classification
J Zheng, M Li, P Zhang, Y Wu… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) target classification methods based on convolutional neural
networks (CNNs) are susceptible to overfitting due to limited samples. In addition, the …
networks (CNNs) are susceptible to overfitting due to limited samples. In addition, the …
Multi-view Features Centers sample expansion for SAR image classification
Z Xiao, G Zhang, Q Dai - IEEE Geoscience and Remote …, 2024 - ieeexplore.ieee.org
Due to the target's radar cross Section (RCS) changes with viewing angle and it is difficult to
obtain target's synthetic aperture radar (SAR) images of all the viewing angles, the training …
obtain target's synthetic aperture radar (SAR) images of all the viewing angles, the training …