Data-oriented composite kernel-based support vector machine for image classification

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Data-oriented composite kernel-based support vector machine for image classification
	Tang,Jiakui ; Zhang,Xianfeng ; Chen,Xiuwan ; Zhang,Jie ; Wen,Xiaohu ; Zhang,Zhidong ; Wang,De
	2009
会议日期	2009-05-25
关键词	Image Analysis - Image Classification - Image Reconstruction - Image Retrieval - Multilayer Neural Networks - Observatories - Remote Sensing - Support Vector Machines - Text Processing - Vectors
通讯作者	Tang,J.
英文摘要	One novel composite kernel based support vector machine (SVM), which is called DOCKSVM (Data Oriented Composite Kernel based Support Vector Machine) is proposed in the paper. SVM have been proved good potential in various studies, and tried to application for pattern classification problems such as text categorization, image classification, objects detection etc. Recently, more and more researches show that SVM is promising in remote sensing image classification. Unlike traditional SVM method, DOCKSVM could integrate the bio-geophysical character into final classification through the composite kernels, which lead to the accuracy improvement of classification results. Firstly method of DOCKSVM is described in detail, then the novel method according to information entropy of training data to evaluate the weighted value of kernels is proposed, finally, preliminary results of application to remote sensing image classification is given which show that it's good potential tool for remote sensing image classification. © 2009 SPIE.
产权排序	(1) Yantai Institute of Coastal Zone Research, Sustainable Development Chinese Academy of Sciences, Yantai, 264003, China; (2) Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China; (3) First Institute of Oceanography, State Oceanic Administration, Qingdao, 266061, China
会议录	Proceedings of SPIE - The International Society for Optical Engineering
会议录出版者	SPIE, P.O. Box 10, Bellingham WA, WA 98227-0010, United States
学科主题	摄影测量与遥感
语种	英语
URL标识	查看原文
ISBN号	ISSN:0277786X
内容类型	会议论文
源URL	[http://ir.yic.ac.cn/handle/133337/4746]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室
推荐引用方式 GB/T 7714	Tang,Jiakui,Zhang,Xianfeng,Chen,Xiuwan,et al. Data-oriented composite kernel-based support vector machine for image classification[C]. 见:. 2009-05-25.