Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Beijing Institute of Technology》 2001-05
Add to Favorite Get Latest Update

Data Fusion Technique Based on Dempster-Shafer Evidence Theory

NI Guo qiang 1, LIANG Hao chen 1,2 ( 1. Dept. of Optical Engineering, Beijing Institute of Technology, Beijing100081, China; 2. Beijing Institute of Environmental Features, Beijing 100854, China)  
The data fusion technique of D S evidence theory is described systematically, the method of constructing basic probability assignment (BPA) of sensor is analyzed, and the dual threshold is used to divide the measurement space into confidence regions and non confidence ones. Then the Dempster's rule of combination is used to combine the belief functions of two sensors. The improvement on performance of receiver operating character (ROC) with data fusion is simulated. Double channel sequence image produced by infrared scene generator and real target sequence image of double channel imager--AGEMA THV900 are detected and fused, and the results are satisfactory.
【Fund】: 部级基金资助项目
【CateGory Index】: TP212
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