[HTML][HTML] Multi-temporal insar tropospheric delay modelling using tikhonov regularization for sentinel-1 c-band data

PK Kirui, B Riedel, M Gerke - ISPRS Open Journal of Photogrammetry and …, 2022 - Elsevier
The increased availability of satellite SAR data coupled with improved InSAR processing
algorithms has led to higher accuracy of InSAR-derived displacements. However, obtaining …

Recovering the magnetic image of Mars from satellite observations

I Kolotov, D Lukyanenko, I Stepanova, Y Wang… - Journal of …, 2021 - mdpi.com
One of the possible approaches to reconstructing the map of the distribution of
magnetization parameters in the crust of Mars from the data of the Mars MAVEN orbiter …

Recovering the near-surface magnetic image of Mercury from satellite observations

I Kolotov, D Lukyanenko, I Stepanova, Y Wang… - Remote Sensing, 2023 - mdpi.com
A new technique for reconstructing the magnetic image of Mercury from satellite observation
data is proposed. The technique is based on extracting from the general observational data …

[PDF][PDF] Magnetic parameters inversion method with full tensor gradient data.

Y Wang, D Lukyanenko, A Yagola - Inverse Problems & Imaging, 2019 - researchgate.net
Retrieval of magnetization parameters using magnetic tensor gradient measurements
receives attention in recent years. Determination of subsurface properties from the observed …

[PDF][PDF] Some methods for solving of 3d inverse problem of magnetometry

DV Lukyanenko, AG Yagola - Eurasian J. Math. Comput. Appl, 2016 - researchgate.net
Recovery of magnetic target parameters from magnetic sensor measurements has attracted
wide interests and found many practical applications. However, difficulties present in …

[PDF][PDF] General Tikhonov regularization with applications in geoscience

Y Wang, A Leonov, D Lukyanenko… - CSIAM Trans. Appl …, 2020 - global-sci.com
The article is devoted to a review of the following new elements of the modern theory of
solving inverse problems:(a) general theory of Tikhonov's regularization with practical …

Reconstruction of magnetic susceptibility using full magnetic gradient data

Y Wang, II Kolotov, DV Lukyanenko… - … and Mathematical Physics, 2020 - Springer
The paper discusses the specificities of solving the inverse problem of reconstructing the
magnetic susceptibility using complete tensor magnetic gradient data. This problem reduces …

Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs

YF Wang, LL Rong, LQ Qiu, DV Lukyanenko… - Petroleum Science, 2019 - Springer
Full tensor magnetic gradient measurements are available nowadays. These are essential
for determining magnetization parameters in deep layers. Using full or partial tensor …

Review of methods for solving inverse problems in identifying permanent magnets of executive elements in dynamic devices

AL Balaban, YA Bakhvalov… - MATEC web of …, 2018 - matec-conferences.org
Permanent magnets due to their overall-saving and energysaving properties are
increasingly used in the executive elements in dynamic systems of various fields of …

An optimal regularization method for convolution equations on the sourcewise represented set

Y Zhang, DV Lukyanenko, AG Yagola - Journal of Inverse and Ill …, 2015 - degruyter.com
In this article, we consider an inverse problem for the integral equation of the convolution
type in a multidimensional case. This problem is severely ill-posed. To deal with this …