Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Anhui Agricultural Sciences》 2010-17
Add to Favorite Get Latest Update

Research Advances in Remote Sensing Image Fusion and Classification Using Support Vector Machine

GUO Li-ping et al(China University of Geosciences,Beijing 100083)  
Firstly,research advances of remote sensing image fusion and classification and the application of support vector machine were reviewed.Meanwhile,the tendency,advantages and problems of remote sensing image fusion and classification using support vector machine were analyzed.Finally,the future research direction was pointed out.
【Fund】: 国家自然科学基金资助项目(40801124);; 中国科学院知识创新工程资助项目(kzcx2-yw-224);中国科学院信息化专项项目(INFO-115-C01-SDB4-17)
【CateGory Index】: S127
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved