mlsanityData to 7 Oct 2026

Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey

arXiv 2007.02106 ↗First posted 4 Jul 2020cs.CV eess.IV eess.SPcited by 18

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Abstract (arXiv)

Automatic Target Recognition (ATR) for military applications is one of the core processes towards enhancing intelligencer and autonomously operating military platforms. Spurred by this and given that Synthetic Aperture Radar (SAR) presents several advantages over its counterpart data domains, this paper surveys and assesses current SAR ATR architectures that employ the most popular dataset for the SAR domain, namely the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset. Based on the current methodology trends, we propose a taxonomy for the SAR ATR architectures, along with a direct comparison of the strengths and weaknesses of each method under both standard and extended operational conditions. Additionally, despite MSTAR being the standard SAR ATR benchmarking dataset we also highlight its weaknesses and suggest future research directions.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 7; 2024: 4; 2025: 3; 2026: 3.

18 papers.

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  1. 2023Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecturecited by 43
  2. 2024SARATR-X: Toward Building A Foundation Model for SAR Target Recognitioncited by 25
  3. 2022Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defensecited by 14
  4. 2025ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wildcited by 12
  5. 2023Discovering and Explaining the Non-Causality of Deep Learning in SAR ATRcited by 9
  6. 2023Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognitioncited by 6
  7. 2024SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTscited by 3
  8. 2024Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATRcited by 1
  9. 2025Exploring Syn-to-Real Domain Adaptation for Military Target Detectioncited by 1
  10. 2023Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognitioncited by 0
  11. 2023Background Debiased SAR Target Recognition via Causal Interventional Regularizercited by 0
  12. 2023Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentationcited by 0
6 more
  1. 2023Multi-Base Station Cooperative Sensing with AI-Aided Trackingcited by 0
  2. 2024Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognitioncited by 0
  3. 2025Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusioncited by 0
  4. 2026SRAW-Attack: Space-Reweighted Adversarial Warping Attack for SAR Target Recognitioncited by 0
  5. 2026Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Datacited by 0
  6. 2026A Task-Driven and Quality-Assured Agent Framework for SAR Data Generationcited by 0