An Unlabeled Samples Labeling Method of TSVM for Remote Sensing Image

	An Unlabeled Samples Labeling Method of TSVM for Remote Sensing Image
	Ren Guangbo; Zhang Jie; Ma Vi; Song Pingjian
	2010
关键词	TSVM labeling method remote sensing classification
页码	286-290
英文摘要	Transductive SVM is a semi-supervised method, which can capture the intrinsic properties of each class' structure in feature space with the help of large number of unlabeled data. It can optimize the classification effect with little and poor representative labeled samples. A weakness of this method is one need determine the number of unlabeled samples which belongs to a specific class before iteration, and the labeling efficiency is very low. We proposed an unlabeled samples labeling method of TSVM for remote sensing image. With this method, we need not know the ratio of the unlabeled samples among classes any more. The first step of our method is clustering, and the number of the clusters must be more than 5 times as the number of classes to be classified. After clustering we get the mean value and the standard deviation of every cluster. Then we labeled the unlabeled samples which contained in the hyper-ball with the mean value as ball-center and the standard deviation as radius a time, instead of labeled one pair of unlabeled samples a time. The classification experiments results prove that the proposed method is not only effective but also can improve the classification accuracy to some extent.
会议录	PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 5
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	Marine comprehensive investigation and assessment in China[908-01-WY08] ; Marine comprehensive investigation and assessment in China[908-ZC-I-08]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000396560300061
WOS关键词	CLASSIFICATION
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/27354]
专题	自然资源部第一海洋研究所
通讯作者	Ren Guangbo
作者单位	State Ocean Adm Qingdao, Inst Oceanog 1, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Ren Guangbo,Zhang Jie,Ma Vi,et al. An Unlabeled Samples Labeling Method of TSVM for Remote Sensing Image[C]. 见:.