国防科技大学学报2026，Vol.48Issue(3)：74-95,22.DOI:10.11887/j.issn.1001-2486.25120072
无人机载高光谱遥感图像水下目标检测:进展、挑战与展望
UAV-based hyperspectral remote sensing imagery for underwater target detection:progress,challenges,and prospects
摘要
Abstract
A systematic review of hyperspectral underwater target detection under complex water conditions was presented from three perspectives:imaging mechanism,characteristic modeling,and algorithm design.Starting from the underwater hyperspectral imaging mechanism,existing methods were categorized into five groups:spectral prediction,spectral restoration,band selection,pixel classification,and feature construction.Their differences and connections were compared in terms of mechanism-consistent modeling,distortion correction,representational robustness,and interpretability.Analysis show that current methods exhibited distinct characteristics in prior dependency,information utilization,and cross-scene adaptability,and the technical approaches are evolving from mechanism-oriented analysis toward mechanism-data synergy,as well as the integration of generative modeling and feature construction.On this basis,the major challenges in environmental adaptability,reliability modeling,and generalization are further summarized,and future directions are discussed,including differentiable physical modeling,uncertainty characterization,and cross-scene generalization mechanisms.关键词
物理机理建模/光谱复原/波段选择/特征构建Key words
physical mechanism modeling/spectral restoration/band selection/feature construction分类
信息技术与安全科学引用本文复制引用
齐嘉豪,刘星月,周川鸿,钟平..无人机载高光谱遥感图像水下目标检测:进展、挑战与展望[J].国防科技大学学报,2026,48(3):74-95,22.基金项目
国家自然科学基金资助项目(62201586) （62201586）
博士后创新人才支持计划资助项目(BX20240492) （BX20240492）
