太赫兹科学与电子信息学报2026，Vol.24Issue(8)：876-891,901,17.DOI:10.11805/TKYDA2025189
基于异源图像融合的目标检测技术研究综述
A survey on object detection techniques based on heterogeneous image fusion
摘要
Abstract
Object detection technology enhances the decision-making efficiency of intelligent systems through real-time localization and accurate classification,playing a vital role in traffic monitoring,industrial inspection,and medical image analysis.Heterogeneous image fusion-based detection integrates multimodal data such as Synthetic Aperture Radar(SAR),infrared,and visible images,effectively overcoming single-modality limitations and providing more comprehensive feature representations,thereby achieving superior detection performance.This paper systematically investigates heterogeneous image fusion strategies for object detection and their adaptation to various detection frameworks.Specifically,it introduces fusion strategies at the point,region,feature,and multi-level,analyzes their technical characteristics,and examines their application within single-stage and two-stage detection frameworks along with their respective advantages and limitations.Furthermore,it synthesizes state-of-the-art approaches for joint optimization of fusion and detection.Finally,commonly used datasets and evaluation metrics are presented,along with promising application prospects in intelligent transportation,industrial inspection,and smart healthcare.关键词
异源图像/图像融合/目标检测Key words
heterogeneous image/image fusion/object detection分类
信息技术与安全科学引用本文复制引用
司浩田,李澜宇,李元吉,蒋庆远,杨杨,余晓刚..基于异源图像融合的目标检测技术研究综述[J].太赫兹科学与电子信息学报,2026,24(8):876-891,901,17.基金项目
国家自然科学基金资助项目(62293552 （）
U22B2059) （）
