中文    English
当前位置: 本站首页 » 科学研究 » 最新论著 » 正文

邵振峰--A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral

发布日期:2014-08-10 11:15:02 阅读次数:[6207]次 作者:

核心提示:邵振峰--A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral


标题:A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral Images
作者:Shao, ZF (Shao, Zhenfeng); Zhang, L (Zhang, Lei); Zhou, XR (Zhou, Xiran); Ding, L (Ding, Lin)
来源出版物:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 卷:11 期:9 页:1609-1613 DOI:10.1109/LGRS.2014.2302034 出版年:SEP 2014
Web of Science 核心合集中的 "被引频次":0
被引频次合计:0
摘要:This letter presents a novel hierarchical semisupervised support vector machine (SVM) for classification of hyperspectral images. The method exploits the wealth of unlabeled samples by means of their cluster features. The method learns a suitable framework for classifying cluster features by a semisupervised SVM and thus makes use of advantages of clustering and classification. Experimental results demonstrate that the proposed classification method is effective for hyperspectral image classification when a few labeled samples are available. Another advantage of the proposed method is that the hierarchical structure can simultaneously take clustering and classification information into consideration.
地址:[Shao, Zhenfeng; Zhang, Lei; Zhou, Xiran; Ding, Lin] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
通讯作者地址:Shao, ZF (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
电子邮件地址:shaozhenfeng@whu.edu.cn; xysyleilei@126.com; zhouxiranjuven@163.com; dinglin@whu.edu.cn


版权所有:测绘遥感信息工程国家重点实验室   
联系地址: 中国·武汉市珞瑜路129号   邮编: 430079   E-mail:liesmars@whu.edu.cn
Tel/Fax:027-68778969(办公室) 027-68778229(国际交流办公室)027-68778525(研究生管理办公室)