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1. Synthetic aperture radar (SAR) is a powerful imaging technology that can provide high-resolution and all-weather images for monitoring terrain and targets on Earth's surface.

2. Automatic target recognition (ATR) is a crucial aspect of SAR image interpretation, and machine learning techniques are commonly employed in this field.

3. This article proposes a Part Attention Network (PAN) that integrates electromagnetic characteristics to improve the interpretability of SAR vehicle target recognition.

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