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Official PDF TranslationFrontiers of Information Technology & Electronic Engineering

Integrating the cat’s eye effect and deep learning for low-altitude target detection

Authors: Bin Zhou; Weiming Wang; Ning Yan; Linlin Zhao; Chuanzhen Li

DOI: 10.1631/FITEE_2500522Status: Verified Translated Edition
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Key Findings in This Report

• Proposes a novel active low-altitude target detection method based on the cat's eye effect, integrating MEMS mirrors and APD for high-sensitivity echo reception. • Combines local pyramid attention (LPA) and field pyramid network (FPN) with SKNet21 to suppress false alarms and enhance small-target identification. • Achieves mean average precision of 0.809 at IoU 0.50 and 0.324 at IoU 0.50–0.95, with a throughput of 49.8 GFLOPs, demonstrating feasibility and efficiency. • Addresses critical limitations in current LSS UAV detection, including false alarm reduction and improved detection accuracy in complex environments.