Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Remote Sensing Technology and Application》 2007-01
Add to Favorite Get Latest Update

Advances of Multisource Remote Sensing Image Fusion Techniques in China

YANG Li-ping1,2,CHEN Fa-hu1,Xie Yao-wen1,2(1.Key Laboratory of Western China's Environmental Systems(Ministry of Education,Lanzhou 730000,China;2.Institute of Remote Sensing and GIS,LanzhouUniversity,Lanzhou 730000,China)  
With the availability of multisensor,multitemporal,multiresolution and multifrequency image data from operational Earth observation satellites,the fusion of digital image data has become a valuable tool in remote sensing image processing.For the full exploitation of increasingly sophisticated multisource data,a lot of image fusion algorithms have been developed.In order to comprehensively understand the development of image fusion technologies in China,this paper reviews the traditional fusion algorithms and some improved fusion algorithms based on traditional HIS,Brovey,PCA and Wavelet fusion in detail.In addition,some new fusion algorithms are also introduced.Problems and prospects of image fusion are addressed simply for the attention of future researches in related fields.As multisource image fusion is a widely applied technique for various research fields,a comprehensive understanding of the image fusion algorithms would be beneficial for the choice of data and image quality control for different purposes of researches.
【Fund】: 国家自然科学基金项目(40571147);; 科技部国际合作重点项目(2002CB714004)资助
【CateGory Index】: TP751
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