Layered media parameters inversion algorithm based on adaptive sparse decomposition

Yongtao Jiang

doi:10.1117/12.3030303

5 June 2024 Layered media parameters inversion algorithm based on adaptive sparse decomposition

Yongtao Jiang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131638Y (2024) https://doi.org/10.1117/12.3030303
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Rooted on time delay over-complete dictionary and sparsity adaptive matching pursuit (SAMP), a new layered media parameters inversion algorithm is proposed. Without the prior knowledge of signal sparsity, the proposed algorithm is able to execute GPR signal sparse decomposition, estimate signal reflection coefficient and time delay. Different from layer stripping with low estimation accuracy and deconvolution with long execution time, the proposed algorithm has acceptable execution time and higher estimation accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongtao Jiang "Layered media parameters inversion algorithm based on adaptive sparse decomposition", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131638Y (5 June 2024); https://doi.org/10.1117/12.3030303

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