Jie Zhou, Yongxiang Liu, Li Liu, Weijie Li, Bowen Peng, Yafei Song, Gangyao Kuang, Xiang Li*
This paper provides the first comprehensive review of fifty years of synthetic aperture radar automatic target recognition (SAR ATR) development, tracing its evolution from inception to the present day.
An evolutionary tree of SAR ATR technology from the 1990s to present, organized into four primary branches based on target types: ships, vehicles, aircraft, and other targets. Branch nodes represent landmark methodologies, connecting lines indicate technological inheritance and innovation, while cross-branch linkages signal the emergence of generalizable models.
For more details, kindly refer to our paper.
If you find this work helpful for your research, please kindly consider citing our paper:
@article{zhou2025fiftyyearssarautomatic,
title={Fifty Years of SAR Automatic Target Recognition: The Road Forward},
author={Zhou, jie and Liu, Yongxiang and Liu, Li and Li, Weijie and Peng, Bowen and Song, Yafei and Kuang, Gangyao and Li, Xiang},
journal={arXiv preprint arXiv:2509.22159},
year={2025},
url={https://arxiv.org/abs/2509.22159},
}- (09/2025) repo is released.
- The updates are currently done Bi-MONTHLY, adding interesting and classic articles, datasets, etc.. We will keep records of the update dates and content, and everyone is also welcome to join in.
- Please light up the STAR⭐⭐⭐⭐⭐ to encourage more opensource on SAR image interpretations!🥰
- Summary of Surveys in SAR ATR
- SAR Target Datasets
- SAR Target Classification
- SAR Target Detection
- Recent Advances
- Acknowledgements
| Year | Publication | Methods | Title | Code |
|---|---|---|---|---|
| 2023 | IET | SARViT | SARViT: vision transformer for SAR image interpretation with efficient model compression for time-real processing | |
| 2025 | IEEE TIP | SARATR-X | SARATR-X: Toward Building a Foundation Model for SAR Target Recognition | SARATR-X |
| 2025 | arXiv | A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning | ||
| 2025 | JAG | SUMMIT | SUMMIT: A SAR foundation model with multiple auxiliary tasks enhanced intrinsic characteristics | SUMMIT |
| 2025 | Nat. Mach. Intell | SkySense++ | A semantic-enhanced multi-modal remote sensing foundation model for Earth observation | SkySense++ |
| 2025 | arxiv | AFRL-DINOv2- | On the Status of Foundation Models for SAR Imagery | - |
Thanks to Lily and Ziyang Lin, and Pinyi Huang, for inspiring me to create this repo and helping refine it, respectively.

