FSCE: A Target-Aware Frequency-Spatial Collaborative Enhancement Framework for Noise-Resilient SAR ATR

arXiv:2603.21565 · cs.CV, cs.AI · Submitted 2026-03-23 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-03-23

Updated: 2026-10-06

Terminology

• Accuracy — 44× in this paper · explained in 1 episode
• Distillation — 31× in this paper · explained in 2 episodes
• Knowledge Distillation — 18× in this paper · explained in 11 episodes
• Robustness — 18× in this paper · explained in 5 episodes
• Generalization — 12× in this paper · explained in 13 episodes
• Feature Extraction — 10× in this paper · explained in 2 episodes
• Aperture — 9× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Wavelet Transform — 9× in this paper · explained in 2 episodes
• Synthetic Aperture Radar — 7× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• Attention Mechanism — 6× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Clustering — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Convolutional Block Attention Module — 3× in this paper
• Regularization — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Frequency-Domain Analysis — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
• Wavelet Convolutional Neural Networks for Texture Classification
• 3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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