火力与指挥控制2025，Vol.50Issue(5)：180-188,9.DOI:10.3969/j.issn.1002-0640.2025.05.026
地表环境下异类目标高光谱检测算法研究
Research on Hyperspectral Detection Algorithm of Heterogeneous Targets in Surface Environment
摘要
Abstract
Aiming at the detection,classification and accurate recognition of heterogeneous targets in special fields,a hyperspectral image classification and target detection algorithm flow is proposed.Firstly,the adaptive coherence estimation(ACE)algorithm and constrained energy minimization(CEM)algorithm are used for image preprocessing,then the principal component analysis(PCA)algorithm is used for spectral feature extraction and dimensionality reduction processing,and finally the spectral angle mapping(SAM)algorithm is used for spectral similarity analysis.The field experiments have been carried out,and the results show that the proposed algorithm greatly improves the operation efficiency compared with the traditional method that requires multiple traversals,the proposed method can effectively improve the detection ability of heterogeneous targets and multiple targets.关键词
高光谱/异类目标/检测识别/显著性Key words
hyperspectral/heterogeneous targets/detection and recognition/significance分类
信息技术与安全科学引用本文复制引用
姜志,刘守熇,迟明祎,叶欣茹,程一峰..地表环境下异类目标高光谱检测算法研究[J].火力与指挥控制,2025,50(5):180-188,9.基金项目
试验技术研究资助项目(1700010231) （1700010231）
