航空学报2025，Vol.46Issue(23)：131-143,13.DOI:10.7527/S1000-6893.2025.31652
双向映射与物理负相关的航空图像去雾算法
Bidirectional mapping and negative correlation algorithm for aerial image dehazing
摘要
Abstract
Recently,deep neural networks based aerial image dehazing techniques have achieved remarkable perfor-mance.However,most methods only learn a one-way mapping from hazy images to clear images,which fail to fully exploit the latent supervision information of haze generation,leading to dehazing performance degradation.Moreover,existing methods that incorporate the atmospheric scattering model in the feature space overlook the exploration of the negative correlation between the transmission map and atmospheric light,which is crucial for leaning more representa-tive features.To address these issues,we propose a bidirectional mapping physics-aware negative correlation algo-rithm for aerial image dehazing.Specifically,the proposed bidirectional mapping multi-stage framework synchronously models haze removal and generation processes in a parameter-sharing network,effectively exploring the haze forma-tion mechanism to enhance dehazing performance.Furthermore,an atmospheric light-guided physics-aware negative correlation module is designed,which optimizes transmission map estimation by leveraging a negative correlation guid-ance mechanism utilizing atmospheric light information.Experimental results on public datasets demonstrate that the proposed dehazing algorithm outperforms seven state-of-the art haze removal methods in both objective evaluation and visual quality.关键词
航空图像去雾/双向映射/多阶段/负相关/大气散射模型Key words
aerial image dehazing/bidirectional mapping/multi-stage/negative correlation/atmospheric scattering model分类
航空航天引用本文复制引用
YAO Zhaoru,SUN Hang,REN Dong,LIU Li,WAN Jun..双向映射与物理负相关的航空图像去雾算法[J].航空学报,2025,46(23):131-143,13.基金项目
国家自然科学基金(62576192,42401404) National Natural Science Foundation of China(62576192,42401404) （62576192,42401404）
