航空学报2025，Vol.46Issue(23)：86-103,18.DOI:10.7527/S1000-6893.2025.31961
基于图像翻译的飞行器红外/卫星异源快速匹配定位方法
Aircraft infrared/satellite heterogenous fast matching localization method based on image translation
摘要
Abstract
In Global Navigation Satellite System-denied environments,aircraft visual navigation faces dual challenges posed by significant nighttime heterogenous image discrepancies and feature matching failures caused by large field-of-view rotations.To address these issues,this paper proposes an infrared/satellite cross-domain fast matching localiza-tion method for aircraft based on image translation,aiming to enhance nighttime matching and localization perfor-mance through image translation and rotational matching strategies.First,we construct HC_CycleGAN,a cross-domain translation model that leverages the integration of Huber loss and spatial attention mechanisms to align satellite and infrared domains.Second,we develop FastPoint,a rapid feature extraction network that integrates a deep vari-able convolutional layer with residual learning mechanisms to establish an R-DVM computational unit,enhancing both computational efficiency and training stability.Finally,a rotational matching method based on the L-LightGlue dynamic adaptive matching algorithm is proposed.This method combines a geometry-invariant pre-rotation matching strategy for rotational matching correction to determine the aircraft's position in satellite image based on the inter-image trans-formation relationships,thereby accomplishing visual localization.Experimental results demonstrate that,compared to existing matching and localization methods,the proposed approach not only improves matching efficiency but also sig-nificantly reduces heterogenous image matching errors under rotational conditions.关键词
异源图像/图像翻译/特征提取/旋转匹配/飞行器定位Key words
heterogenous images/image translation/feature extraction/rotation matching/aircraft localization分类
航空航天引用本文复制引用
TANG Bin,YANG Xiaogang,LU Ruitao,ZHANG Zhenyu,SU Shuang..基于图像翻译的飞行器红外/卫星异源快速匹配定位方法[J].航空学报,2025,46(23):86-103,18.基金项目
陕西省重点研发计划重点项目(2024CY2-GJHX-42) Key Research and Development Program of Shaanxi Province(2024CY2-GJHX-42) （2024CY2-GJHX-42）
