Image fusion for travel time tomography inversion

• Autorzy: Yin X. , Liu L. , Zhao X. , Ashraf M.A.
• Języki publikacji: EN

Abstrakty

EN

The travel time tomography technology had achieved wide application, the hinge of tomography was inversion algorithm, the ray path tracing technology had a great impact on the inversion results. In order to improve the SNR of inversion image, comprehensive utilization of inversion results with different ray tracing can be used. We presented an imaging fusion method based on improved Wilkinson iteration method. Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. Therefore, the ill- conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. Simulation results showed that, this method can eliminate the artifacts in images effectively, it had extensive practical significance

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2015
• Tom: 22
• Numer: Special Issue S1
• Opis fizyczny: p.149-156,fig.,ref.

Twórcy

autor

Yin X.

• College of Computer and Information, Hohai University, Nanjing 210098, China

autor

Liu L.

• The Fourth Department, Bengbu Naval Petty Officer Academy, Bengbu 233012, China

autor

Zhao X.

• College of Information Engineering, Anhui Science and Technolkogy University, Chuzhou 233100, china

autor

Ashraf M.A.

• Department of Geology, Faculty of Science, University of Malaya, 50603 Kuala Lamour, Malaysia
• Faculty of Science and Natural Resources, University Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

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Identyfikatory

DOI

10.1515/pomr-2015-0047