红外与毫米波学报2026,Vol.45Issue(1):166-181,16.DOI:10.11972/j.issn.1001-9014.2026.01.018
红外偏振图像融合方法研究进展
Review on infrared polarization image fusion methods
摘要
Abstract
Infrared polarization image fusion can fully utilize the polarization information of the scene,compensate for the disadvantage of infrared intensity images in describing high-frequency information such as scene contour edges and texture details,and has unique advantages in target detection and recognition,background noise suppression,and coun‐ter camouflage.The article summarized the research progress of infrared polarization image fusion technology from two aspects:single algorithm image fusion and multi-algorithm combination image fusion.It analyzed the design ideas of typical algorithms and summarized the advantages and disadvantages of each algorithm.Based on the current trend where single algorithm serves as the mainstream and multi-algorithm combination as the development trend for infrared polarization image fusion,this paper anticipates its potential future development direction.关键词
图像融合/红外偏振/单一算法/多算法组合Key words
image fusion/infrared polarization/single algorithm/multi algorithm combination分类
数理科学引用本文复制引用
郑进江,李晓霞,赵大鹏,陈熠,吴梦醒..红外偏振图像融合方法研究进展[J].红外与毫米波学报,2026,45(1):166-181,16.基金项目
综合研究项目(KY23N014) Supported by the Comprehensive Research Project(KY23N014) (KY23N014)