大数据2023,Vol.9Issue(6):72-89,18.DOI:10.11959/j.issn.2096-0271.2022084
融合光谱度量标记迁移和Tri-training的高光谱遥感图像半监督分类算法
Semi-supervised classification algorithm for hyperspectral remote sensing images fusing spectral measure-based label transfer and tri-training
摘要
关键词
高光谱图像分类/半监督分类/纹理特征/光谱度量/Tri-training算法Key words
classification of hyperspectral image/semi-supervised classification/texture feature/spectral measurement/tri-training algorithm分类
信息技术与安全科学引用本文复制引用
曹峰,李文涛,骆剑承,李德玉,钱宇华,白鹤翔,张超..融合光谱度量标记迁移和Tri-training的高光谱遥感图像半监督分类算法[J].大数据,2023,9(6):72-89,18.基金项目
国家自然科学基金资助项目(No.62072291,No.42071316,No.62072294,No.61672332,No.41871286,No.61806116) (No.62072291,No.42071316,No.62072294,No.61672332,No.41871286,No.61806116)
山西省重点研发计划项目(No.201903D421003,No.201903D421041) (No.201903D421003,No.201903D421041)
山西省教育厅科技成果转化培育项目(No.2020CG001) The National Natural Science Foundation of China(No.62072291,No.42071316,No.62072294,No.61672332,No.41871286,No.61806116),Key Research and Development Plan of Shanxi Province(No.201903D421003,No.201903D421041),Scientific and Technological Transformative Project of Shanxi Provincial Department of Education(No.2020CG001) (No.2020CG001)