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 | |
通讯作者 | Tang,J. |
2009 | |
会议名称 | 2nd International Conference on Earth Observation for Global Changes |
会议日期 | 2009-05-25 |
ISBN号 | ISSN:0277786X |
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 |
关键词 | Image Analysis - Image Classification - Image Reconstruction - Image Retrieval - Multilayer Neural Networks - Observatories - Remote Sensing - Support Vector Machines - Text Processing - Vectors |
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. |
作者部门 | 信息集成与应用实验室 |
学科领域 | 摄影测量与遥感 |
URL | 查看原文 |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/4745 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
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]:SPIE, P.O. Box 10, Bellingham WA, WA 98227-0010, United States,2009. |
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