TY - GEN
T1 - Multi-sensor data fusion using geometric transformations for gas transmission pipeline inspection
AU - Oagaro, Joseph A.
AU - Mandayam, Shreekanth
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - This paper presents a technique that can be used to fuse data from multiple sensors that are employed in nondestructive evaluation (NDE) applications, specifically for the in-line inspection of gas transmission pipelines. A radial basis function artificial neural network is used to perform geometric transformations on data obtained from multiple sources. The technique allows the user to define the redundant and complementary information present in the data sets. The efficacy of the algorithm is demonstrated using experimental images obtained from the NDE of a test specimen suite using magnetic flux leakage (MFL), ultrasonic (UT) and thermal imaging methods. The results presented in this paper indicate that neural network based geometric transformation algorithms show considerable promise in multi-sensor data fusion applications.
AB - This paper presents a technique that can be used to fuse data from multiple sensors that are employed in nondestructive evaluation (NDE) applications, specifically for the in-line inspection of gas transmission pipelines. A radial basis function artificial neural network is used to perform geometric transformations on data obtained from multiple sources. The technique allows the user to define the redundant and complementary information present in the data sets. The efficacy of the algorithm is demonstrated using experimental images obtained from the NDE of a test specimen suite using magnetic flux leakage (MFL), ultrasonic (UT) and thermal imaging methods. The results presented in this paper indicate that neural network based geometric transformation algorithms show considerable promise in multi-sensor data fusion applications.
UR - http://www.scopus.com/inward/record.url?scp=51349136319&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51349136319&partnerID=8YFLogxK
U2 - 10.1109/IMTC.2008.4547324
DO - 10.1109/IMTC.2008.4547324
M3 - Conference contribution
AN - SCOPUS:51349136319
SN - 1424415411
SN - 9781424415410
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 1734
EP - 1737
BT - 2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC
T2 - 2008 IEEE International Instrumentation and Measurement Technology Conference, I2MTC
Y2 - 12 May 2008 through 15 May 2008
ER -