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The aim is to review and analyze existing automatic target recognition techniques using synthetic aperture radar imagery.

Analysis of deep learning-based models for automatic target recognition using synthetic aperture radar imagery

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The aim is to review and analyze existing automatic target recognition techniques using synthetic aperture radar imagery.
Reviewed various ATR models built using synthetic aperture radar imagery.
Analyzed performance under standard and extended operating conditions.
Compared experimental results on the MSTAR dataset.
SAR imagery provides improved target recognition accuracy compared to other data sources.
State-of-the-art techniques demonstrate varied performance levels in ATR tasks.
The review identifies benefits and limitations of existing methods.

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This review analyzes automatic target recognition using synthetic aperture radar imagery, highlighting implications for military applications.

Mitra et al. (2026) studied this question.

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This review analyzes automatic target recognition using synthetic aperture radar imagery, highlighting implications for military applications.