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Saif, M., Khazaei, S. (2015). Detection of underground targets based on the gravity gradient data using the Euler deconvolution method. Electronic and Cyber Defense, 6(1), 33-43.
Mohhamd Reza Saif; safa Khazaei. "Detection of underground targets based on the gravity gradient data using the Euler deconvolution method". Electronic and Cyber Defense, 6, 1, 2015, 33-43.
Saif, M., Khazaei, S. (2015). 'Detection of underground targets based on the gravity gradient data using the Euler deconvolution method', Electronic and Cyber Defense, 6(1), pp. 33-43.
Saif, M., Khazaei, S. Detection of underground targets based on the gravity gradient data using the Euler deconvolution method. Electronic and Cyber Defense, 2015; 6(1): 33-43.

Detection of underground targets based on the gravity gradient data using the Euler deconvolution method

علوم و فناوریهای پدافند نوین
Article 4, Volume 6, Issue 1 - Serial Number 19, June 2015, Pages 33-43    PDF (1.66 M)
Authors
Mohhamd Reza Saif* ; safa Khazaei
Receive Date: 30 January 2019,  Revise Date: 17 July 2025,  Accept Date: 30 January 2019 
Abstract
Investigating the possibility of detection of underground structures is one of the complicated problems. In this paper, making use of gravity gradient data is introduced as an efficient techniqueto solve this problem. In order to analyze this problem thoroughly and take into account all parts of it, both direct and inverse problems are treated in this contribution. In the direct problem, with the assumption of the known size and position of the structure, gravity gradient signal is modeled. Then, using this modeled signal and by considering the noise level of the gradiometer, some points about the detectability of the structure are discussed. In the inverse problem, position of the underground target is estimated based on the Euler deconvolution, given the gravity gradient tensor. Finally, both of the direct and inverse problems are implemented based on simulated data and some suggestions are made to decrease the probability of detectability of the underground targets.
Keywords
Gravity Gradient Data; Underground Structure Detection; Euler Deconvolution; Underground Utilities
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