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.


    Access

    Download


    Export, share and cite



    Title :

    Image Fusion for Travel Time Tomography Inversion


    Contributors:


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Image Fusion for Travel Time Tomography Inversion

    Liu, Linan / Zhao, Xiaomeng / Yin, Xinghui et al. | Online Contents | 2015


    Travel Time Data Fusion in ADVANCE

    Tarko, A. / Rouphail, N. M. / ASCE | British Library Conference Proceedings | 1993


    Highway travel time estimation with data fusion

    Soriguera Martí, Francesc / Springer-Verlag GmbH | TIBKAT | 2016



    Estimating Link Travel Time Distribution Using Network Tomography Technique

    Duan, Peibo / Mao, Guoqiang / Huang, Baoqi et al. | IEEE | 2019