DEEP LEARNING FOR OBJECT DETECTION USING RADAR DATA

DEEP LEARNING FOR OBJECT DETECTION USING RADAR DATA

Recently, Deep learning valhalla axys algorithms are becoming increasingly instrumental in autonomous driving by identifying and acknowledging road entities to ensure secure navigation and decision-making.Autonomous car datasets play a vital role in developing and evaluating perception systems.Nevertheless, the majority of current datasets are acqu

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Aircraft Detection from Low SCNR SAR Imagery Using Coherent Scattering Enhancement and Fused Attention Pyramid

Recently, methods based on deep learning have been applied to target detection using synthetic aperture radar (SAR) images.However, due to the SAR imaging mechanism and low signal-clutter-noise-ratio click here (SCNR), it is still a challenging task to perform aircraft detection using SAR imagery.To address this issue, a novel aircraft detection me

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