53 citations · 142 across the 12 of their papers we have counts for
12 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…
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
Chenwei Wang, Xiaoyu Liu, Yulin Huang +4
Convolutional neural networks (CNNs) have achieved high performance in synthetic aperture radar (SAR) automatic target recognition (ATR). However, the performance of CNNs depends h…
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…
Unveiling Causalities in SAR ATR: A Causal Interventional Approach for Limited Data
Chenwei Wang, Xin Chen, You Qin +4
Synthetic aperture radar automatic target recognition (SAR ATR) methods fall short with limited training data. In this letter, we propose a causal interventional ATR method (CIATR)…