融合背景估计与相对局部对比度的天基短波红外弱小目标检测

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关键词：短波红外；弱小目标检测；局部对比度；背景估计

中图分类号：TP391.4；TN215 文献标识码：A

doi：10.37188/OPE.20263403.0450 CSTR：32169.14.OPE.20263403.0450

SWIR weak targets detection on space-based platform integrating background estimation and relative local contrast

XUE Chi 1，2. ， CHEN Xiaomei1*，LI Haitong

（1.School of Optoelectronics，Beijing Institute of Technology，Beijing lOOo81， China; 2. Collge of Optical Science and Engineering， Zhejiang Uni'versity， Hangzhou 31O027， China; 3.Space Star Technology Co. Ltd.，Beijing 1Ooo89，China） * Corresponding author， E -mail： cxiaomei@bit. edu. cn

Abstract： To address the challenge of detecting dim and smalltrgets in space-based short-wave infrared （SWIR） imagery-where targets are readily obscured by cloud cover and ground clutter under low signal-toclutter ratio （SCR） conditions-an enhanced detection algorithm is proposed that integrates Anderson-accelerated Self-Regularized Weighted Sparse（SRWS） modeling with the Relative Local Contrast Measure （RLCM）. Computational complexity in background estimation is substantially reduced through the incorporation of Anderson acceleration，while multi-scale target detection is achieved via background residual maps combined with RLCM. Experiments conducted on 289 SWIR images spanning seven representative scenarios demonstrate consistently strong performance in complex backgrounds，with the AUC reaching 0.950 and remaining no lower than O.842 under the most challenging conditions.The signal-to-clutter ratio gain （SCRG） is significantly improved relative to conventional methods，including IPI and LCM. Overall，detection accuracy and robustnessfor dim and smalltargets in space-based SWIR remote sensing are efectively enhanced， providing a reliable solution for target detection in complex background environments.

Key words： short-wave infrared; weak target detection; local contrast;background estimation

1引言

天基短波红外（SWIR，ShortWaveInfrared）成像凭借穿透烟雾、识别伪装及昼夜工作的能力，已成为遥感观测的重要手段。（剩余20194字）