Crush0416/MS-CVNets-a-novel-complex-valued-neural-networks-for-SAR-ATR
MS-CVNets: a novel SAR ATR method based on Multi-Stream Complex-Valued Networks
This tool helps researchers and engineers develop and evaluate automatic target recognition (ATR) systems using Synthetic Aperture Radar (SAR) imagery. It takes raw SAR image data, specifically from the Complex-MSTAR dataset, and processes it to identify and classify targets automatically. This is ideal for those working on defense, surveillance, or remote sensing applications who need to distinguish objects in SAR imagery.
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Use this if you are a defense researcher or remote sensing engineer looking to apply advanced deep learning techniques to SAR Automatic Target Recognition.
Not ideal if you are not working with complex-valued SAR data or require target recognition for optical or other image types.
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43
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Language
Python
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Last pushed
May 25, 2025
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