郑州轻工业学院学报（自然科学版）Issue(3)：82-85,4.DOI:10.3969/j.issn.2095-476X.2015.3/4.018
基于过完备字典稀疏表示的云分类研究
Cloud classification research based on over complete dictionary sparse representation
摘要
Abstract
Aimed at the problem that automatic identification method for the cloud categories was less at present,a new method of cloud classification based on sparse representation of overcomplete dictionary was proposed.The method used different cloud types samples to establish an adaptive overcomplete dictionary, extracted dictionary features and designed sparse classifier to determine the type of cloud.The simulation a-nalysis results showed that the classification accuracy of Ca,Cs&Cd,As&Ac,Ns&Cu,Cb were 100%,63. 5%,90.3%,94.1%,98.2%,respectively.The overall classification accuracy was 89.2%.The classi-fication accuracy was higher than the support vector machine classifier and the traditional sparse represen-tation classifier.关键词
卫星云图/稀疏表示/过完备字典Key words
satellite cloud/sparse representation/overcomplete dictionary分类
信息技术与安全科学引用本文复制引用
黄敏,王嘉利..基于过完备字典稀疏表示的云分类研究[J].郑州轻工业学院学报（自然科学版）,2015,(3):82-85,4.基金项目
国家自然科学基金项目（61201447）；河南省基础与前沿技术研究计划项目 （）
