53 citations · 101 across the 8 of their papers we have counts for
8 papers
SAR ATR Method with Limited Training Data via an Embedded Feature Augmenter and Dynamic Hierarchical-Feature Refiner
Chenwei Wang, Siyi Luo, Yulin Huang +3
Without sufficient data, the quantity of information available for supervised training is constrained, as obtaining sufficient synthetic aperture radar (SAR) training data in pract…
Crucial Feature Capture and Discrimination for Limited Training Data SAR ATR
Chenwei Wang, Siyi Luo, Jifang Pei +3
Although deep learning-based methods have achieved excellent performance on SAR ATR, the fact that it is difficult to acquire and label a lot of SAR images makes these methods, whi…
An Entropy-Awareness Meta-Learning Method for SAR Open-Set ATR
Chenwei Wang, Siyi Luo, Jifang Pei +4
Existing synthetic aperture radar automatic target recognition (SAR ATR) methods have been effective for the classification of seen target classes. However, it is more meaningful a…
SAR Ship Target Recognition Via Multi-Scale Feature Attention and Adaptive-Weighed Classifier
Chenwei Wang, Jifang Pei, Siyi Luo +4
Maritime surveillance is indispensable for civilian fields, including national maritime safeguarding, channel monitoring, and so on, in which synthetic aperture radar (SAR) ship ta…
SAR Target Image Generation Method Using Azimuth-Controllable Generative Adversarial Network
Chenwei Wang, Jifang Pei, Xiaoyu Liu +4
Sufficient synthetic aperture radar (SAR) target images are very important for the development of researches. However, available SAR target images are often limited in practice, wh…
Global in Local: A Convolutional Transformer for SAR ATR FSL
Chenwei Wang, Yulin Huang, Xiaoyu Liu +3
Convolutional neural networks (CNNs) have dominated the synthetic aperture radar (SAR) automatic target recognition (ATR) for years. However, under the limited SAR images, the widt…