Title
A Data-Fusion Scheme for Quantitative Image Analysis by Using Locally Weighted Regression and Dempster–Shafer Theory
Abstract
Dempster-Shafer (DS) theory provides a solution to fuse multisensor data, which are presented in a hypothesis space comprising mutually exclusive and exhaustive propositions and their unions. The fusion result is a description of the proposition with the values of support, plausibility, and uncertainty interval. However, in some applications, numerical values of a continuous function, instead of a Boolean value or a proposition, are expected. In this paper, a scheme based on DS reasoning and locally weighted regression is proposed to fuse the data obtained from the nondestructive inspections of aircraft lap joints for the estimation of the remaining thickness. The proposed approach uses a pairwise regression that is optimized by the DS method when multiple inputs are involved. The scheme is evaluated with the experiments on fusing conventional eddy current and pulsed eddy current data obtained from aircraft lap joint structures for the characterization of hidden corrosion.
Year
DOI
Venue
2008
10.1109/TIM.2008.924933
IEEE T. Instrumentation and Measurement
Keywords
Field
DocType
multisensor data,boolean value,classification,image fusion,nondestructive readout,inference mechanisms,regression analysis,corrosion quantification,data-fusion scheme,dempster–shafer (ds) theory,dempster-shafer theory,data fusion,uncertainty handling,quantitative image analysis,dempster??shafer (ds) theory,pairwise regression,local weighted regression,sensor fusion,locally weighted regression,dempster shafer,eddy currents,uncertainty,fuses,inspection,image analysis,calibration,corrosion,eddy current,dempster shafer theory
Continuous function,Pairwise comparison,Pattern recognition,Image fusion,Regression analysis,Local regression,Sensor fusion,Artificial intelligence,Boolean data type,Dempster–Shafer theory,Mathematics
Journal
Volume
Issue
ISSN
57
11
0018-9456
Citations 
PageRank 
References 
5
0.56
4
Authors
4
Name
Order
Citations
PageRank
Zheng Liu133939.14
David S. Forsyth2433.54
Mir-Saeed Safizadeh3101.39
A. Fahr450.56