航空学报2026，Vol.47Issue(2)：247-263,17.DOI:10.7527/S1000-6893.2025.32120
GPS拒止环境巡飞器双源地理位置知觉实例分割
Instance segmentation of dual-source geolocation perception for GPS reject environmental aerial vehicle
摘要
Abstract
To address the issues of inability to locate in GPS reject environments for the navigation system of aerial vehicles and the low seg-mentation accuracy caused by blurred edges and mixed backgrounds in aerial imagery,this paper proposes a Dual-source Geo-aware Instance Segmentation Model for ground objects,referred to as DGISM.First,a triple adaptive central moment module along horizontal,vertical,and channel dimensions is designed,along with a parallel path cross-layer interaction structure to aggregate shallow-level details,thereby enhancing instance fea-ture discriminability and overcoming background clutter issues.Second,a multi-core spatial focus module is devel-oped to integrate cross-scale spatial features and deep channel information,improving the model's ability to concen-trate on edge features and addressing the problem of low segmentation accuracy due to edge blur.Lastly,to tackle the problem of localization in GPS reject environments,a dual-source perception and positioning module for aerial im-agery and satellite information is designed.This module extracts segmentation weights to match the feature informa-tion of the aerial vehicle's imagery with a feature memory bank of images containing satellite positioning information,thereby obtaining corresponding geographic location information.Experimental results demonstrate that the proposed dual-source geo-aware instance segmentation model achieves mAP50-95 and mAP50 segmentation accuracies of 69.1％and 88.8％,respectively,with a dual-source feature matching positioning accuracy of 95.6％.Realizing pre-cise geographic location perception and positioning of patrol aircraft by segmenting building targets in GPS reject environments.关键词
实例分割/地理位置知觉/双源定位/GPS拒止/中心矩感知Key words
instance segmentation/geolocation perception/dual-source localization/gps reject/central moment perception分类
航空航天引用本文复制引用
宫冕,张印辉,何自芬,陈光晨,张瑞..GPS拒止环境巡飞器双源地理位置知觉实例分割[J].航空学报,2026,47(2):247-263,17.基金项目
国家自然科学基金(62061022,62171206) （62061022,62171206）
装备智能运用教育部重点实验室开放基金(AAIE-2023-0203) （AAIE-2023-0203）
昆明理工大学分析测试基金(2024P20231103003) National Natural Science Foundation of China(62061022,62171206) （2024P20231103003）
The Open Fund Project of the Key Laboratory of Intelligent Application of Equipment of the Ministry of Education(AAIE-2023-0203) （AAIE-2023-0203）
Analysis and Testing Foundation of Kunming University of Science and Technology(2024P20231103003) （2024P20231103003）
