飞控与探测2026，Vol.9Issue(2)：69-81,13.DOI:10.20249/j.cnki.2096-5974.2026.02.008
基于局部对比度与方向导数的抗诱饵红外小目标检测算法
Anti-Decoy Infrared Small Target Detection Algorithm Based on Local Contrast and Directional Derivatives
摘要
Abstract
Infrared small target detection technology holds significant application value in urban se-curity,remote sensing surveying,and military guidance,but the combined interference from natu-ral background clutter and artificial decoy flares severely degrades its detection accuracy and ro-bustness.To address this issue,this paper presents an anti-decoy infrared small target detection algorithm integrating local contrast and directional derivative features.The proposed method first extracts local contrast reflecting spatial distribution characteristics and second-order directional de-rivative capturing edge structure features,then adaptively fuses these features to suppress back-ground clutter and decoy interference while extracting small targets.To handle decoy occlusion scenarios,a feature mutation discrimination mechanism is introduced by calculating inter-frame feature differences to identify occlusion events,during which the Kalman filter predicts target po-sitions to maintain detection continuity.After decoy separation,rapid target recapture is achieved.Comparative experiments on real-world infrared sequences with decoy interference demonstrate that the algorithm effectively suppresses complex backgrounds and decoys while achieving high de-tection accuracy and robustness.关键词
红外小目标检测/诱饵判别/局部对比度/方向导数/卡尔曼滤波Key words
infrared small target detection/decoy discrimination/local contrast/directional deriva-tive/Kalman filter分类
信息技术与安全科学引用本文复制引用
罗远聪,张硕,曹姝清,梁彦,许运凯,孔筱芳,顾国华,陈钱,万敏杰..基于局部对比度与方向导数的抗诱饵红外小目标检测算法[J].飞控与探测,2026,9(2):69-81,13.基金项目
国家自然科学基金(62201260) （62201260）
中央高校基本科研业务费专项(30923011015,30924010941) （30923011015,30924010941）
