Image Fusion for Travel Time Tomography Inversion

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 diffe...

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Main Authors:	Liu Linan, Zhao Xiaomeng, Yin Xinghui, Ashraf Muhammad Aqeel
Format:	Article
Language:	English
Published:	Sciendo 2015-09-01
Series:	Polish Maritime Research
Subjects:	tomography inversion algorithm wavelet transform image fusion
Online Access:	http://www.degruyter.com/view/j/pomr.2015.22.issue-s1/pomr-2015-0047/pomr-2015-0047.xml?format=INT

id	doaj-art-6ad010bbe2ce4258a797f085792b3620
recordtype	oai_dc
spelling	doaj-art-6ad010bbe2ce4258a797f085792b36202018-09-02T17:55:17ZengSciendoPolish Maritime Research2083-74292015-09-0122s114915610.1515/pomr-2015-0047pomr-2015-0047Image Fusion for Travel Time Tomography InversionLiu Linan0Zhao Xiaomeng1Yin Xinghui2Ashraf Muhammad Aqeel3College of Computer and Information, Hohai University, Nanjing 210098, ChinaCollege of Information Engineering, Anhui Science and Technology University, Chuzhou 233100, ChinaCollege of Computer and Information, Hohai University, Nanjing 210098, ChinaDepartment of Geology, Faculty of Science, University Of Malaya 50603 Kuala Lumpur, MalaysiaThe 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.http://www.degruyter.com/view/j/pomr.2015.22.issue-s1/pomr-2015-0047/pomr-2015-0047.xml?format=INTtomographyinversion algorithmwavelet transformimage fusion
institution	Open Data Bank
collection	Open Access Journals
building	Directory of Open Access Journals
language	English
format	Article
author	Liu Linan Zhao Xiaomeng Yin Xinghui Ashraf Muhammad Aqeel
spellingShingle	Liu Linan Zhao Xiaomeng Yin Xinghui Ashraf Muhammad Aqeel Image Fusion for Travel Time Tomography Inversion Polish Maritime Research tomography inversion algorithm wavelet transform image fusion
author_facet	Liu Linan Zhao Xiaomeng Yin Xinghui Ashraf Muhammad Aqeel
author_sort	Liu Linan
title	Image Fusion for Travel Time Tomography Inversion
title_short	Image Fusion for Travel Time Tomography Inversion
title_full	Image Fusion for Travel Time Tomography Inversion
title_fullStr	Image Fusion for Travel Time Tomography Inversion
title_full_unstemmed	Image Fusion for Travel Time Tomography Inversion
title_sort	image fusion for travel time tomography inversion
publisher	Sciendo
series	Polish Maritime Research
issn	2083-7429
publishDate	2015-09-01
description	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.
topic	tomography inversion algorithm wavelet transform image fusion
url	http://www.degruyter.com/view/j/pomr.2015.22.issue-s1/pomr-2015-0047/pomr-2015-0047.xml?format=INT
_version_	1612632181296857088

Image Fusion for Travel Time Tomography Inversion

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