红外与毫米波学报2016，Vol.35Issue(6)：723-730,8.DOI:10.11972/j.issn.1001-9014.2016.06.015
基于光谱稀疏模型的高光谱压缩感知重构
Hyperspectral compressive sensing reconstruction based on spectral sparse model
摘要
关键词
压缩感知/高光谱成像/稀疏表示/字典学习/重构算法Key words
compressive sensing(CS)/hyperspectral imaging/sparse representation/dictionary learning/reconstruction algorithm分类
信息技术与安全科学引用本文复制引用
汪琪,马灵玲,唐伶俐,李传荣,周勇胜..基于光谱稀疏模型的高光谱压缩感知重构[J].红外与毫米波学报,2016,35(6):723-730,8.基金项目
国家高技术研究发展计划(863计划)(2013AA12904),中国科学院/国家外国专家局创新国际团队(2013AA1229)Supported by National High Technology Research and Development Program of China) (2013AA12904),Chinese Academy of Sciences and State Administration of Foreign Experts Affairs Project of Innovation Team International Partner Program(2013AA1229) （863计划）
