空间科学学报2025，Vol.45Issue(1)：215-225,11.DOI:10.11728/cjss2025.01.2024-0025
方向显著性特征分布的加权散度红外弱小目标增强检测
Weighted Divergence of Directionally Salient Features for Infrared Small Target Detection Enhancement
摘要
Abstract
Infrared small target detection is widely used in fields such as dark and weak object detec-tion,which is an important means of early warning for space environment safety.Drawing on entropy theory and incorporating the directionality of target diffusion,this study introduces a method for In-frared Small Target Detection Enhancement named Weighted Divergence of Directionally Salient Fea-tures(DSWD).Initially,this method assesses the local saliency of an image using a multi-layer nested window approach,and applies multidirectional spatial filtering to highlight point targets that radiate outward from the center to eight directions within the infrared spectrum,thereby enhancing the target against a complex backdrop.To address the disparity between the anisotropic distribution of saliency features and the homogeneous background distribution,this study employs a scatter measure to quanti-fy the probabilistic distribution between the target area and the background,thus identifying regions of interest.Nevertheless,the efficacy of target extraction can be compromised by obfuscating elements,such as prominently illuminated backgrounds.To mitigate this,the study leverages an enhanced abso-lute mean square deviation technique for further target refinement,ensuring precise separation and ex-traction from the intricate background.The process culminates with the application of an adaptive threshold segmentation method for final target extraction.The experimental results show that for the variable space environment,the method proposed in this paper can accurately detect the weak targets in the space environment and reduce the false alarm rate,which is expected to be applied in the future space environment safety warning system or for reference.关键词
红外弱小目标检测/能量加权/局部对比度/散度Key words
Infrared small target detection/Energy weighting/Local contrast/Dispersion分类
计算机与自动化引用本文复制引用
王怡雯,郑伟,邢成龙..方向显著性特征分布的加权散度红外弱小目标增强检测[J].空间科学学报,2025,45(1):215-225,11.基金项目
载人航天工程航天医学实验领域项目资助(HYZHXM01012) （HYZHXM01012）
