Aeromagnetic compensation is the main method for eliminating magnetic interference on flight platforms. With improved sensitivity of aeromagnetic sensors, generalization and accuracy existing methods have become insufficient to meet needs current survey applications. In this article, we propose an based temporal convolutional networks improve both accuracy. proposed method, a neural network separable convolution with residual connection employed convergence stability, gradient correction...

Natural remanent magnetization and self-demagnetization on high-susceptibility bodies are two important factors affecting magnetic data inversion. We propose a framework for the inversion interpretation of anomalies, in which significant present simultaneously. The is based assumptions that external applied field internal uniform deflection total direction negligible. First, vector distributions obtained from by estimating direction, then inverting intensity distribution, using inferred as...

SUMMARY Magnetic susceptibility and natural remanent magnetization of rocks are useful parameters to study geological structures geodynamic processes. Traditional widely used algorithms for the inversion magnetic data can recover distribution apparent or total intensity, but do not provide information on magnetization. In this paper, we propose a framework directly invert vector using surface airborne data, assuming that Köenigsberger ratio rock is known approximately deducible. The...

Abstract The equivalent source method offers a potential means for continuing and manipulating magnetic data between arbitrary surfaces. However, it ultimately suffers from limited continuation distance significant errors, which restrict its applicability in practice. To address this problem, we reformulate the with partial differential equation framework. A multilayer susceptibility is innovatively derived based on approach. location of sources designed adaptive estimation through inverse...

We have developed a general 3D amplitude inversion algorithm for magnetic data in the presence of self-demagnetization and remanent magnetization. The uses nonlinear conjugate gradient (NLCG) scheme to invert anomaly vector within partial differential equation framework. Three quantities— anomalous field, analytic signal, normalized source strength, defined as amplitudes that are weakly dependent on magnetization direction — inverted recover distribution subsurface susceptibility. Numerical...

This study presents a novel approach to modeling the Earth’s geomagnetic field, which originates from electric currents approximately 2,900 km beneath surface, crucial for understanding planetary dynamics. We introduce method inverting planetary-scale equivalent magnetization source and develop 3-D current circulation model this source, enhancing of these deep currents. research signifies first use unstructured tetrahedral inversion technology planet-scale magnetic data interpretation...

Natural remanent magnetization acts as a record of the previous orientations earth’s magnetic field, and it is an important feature when studying geologic phenomena. The so-called IDQ curve used to describe relationship between inclination ( I) declination D) Köenigsberger ratio Q). Here, we construct using data on ground airborne anomalies. devised modified approaches for estimating total direction, e.g., identifying maximal position minimal reduced-to-the-pole fields or correlations...

The detection of dipole-like sources, such as unexploded ordnances (UXO) and other metallic objects, based on a magnetic gradiometer system, has been increasingly applied in recent years. In this paper, novel source algorithm, eigenvector analysis with gradient tensor data interpretation is presented. Firstly, the theoretical basis decomposition analyzed. Then, algorithm proposed by using properties to locate sources. can automatically detect sources without estimating moment direction. It...

Abstract Magnetic inversion methods based on structured grids have been used extensively in geomagnetic research. Nevertheless, limit the modeling capability and accuracy of models with arbitrary geometries. To address these challenges, 3‐D magnetic numerical forward using an unstructured tetrahedral grid a partial differential equation (PDE) framework are proposed. The derived from Maxwell's equations constructed finite element method. Arbitrary undulating topographies, complex geometries,...

SUMMARY Magnetic surveys conducted in complex conditions, such as low magnetic latitudes, uneven observation surfaces, or above high-susceptibility sources, pose significant challenges for obtaining stable solutions reduction-to-the-pole (RTP) and upward-continuation processing on arbitrary surfaces. To tackle these challenges, this study, we propose constructing an equivalent-susceptibility model based the partial differential equation (PDE) framework space domain. A multilayer method was...

Abstract. We develop an eigenvector analysis method to locate the centroids and horizontal boundaries of geological structures full tensor gravity gradient (GGT) data. Although boundary detection for Bouguer has been widely discussed applied, source location GGT data remains area active research. In this paper, we first discuss theoretical basis physical meaning on data, then a new is derived. Unlike traditional potential field detection, proposed uses extract centroid information. The...

Complications arise in the interpretation of gravity fields because interference from systematic degradations, such as boundary blurring and distortion. The major sources these degradations are various errors that inevitably occur during field data acquisition, discretization geophysical forward modelling. To address this problem, we evaluate deconvolution method aim to detect clear horizontal boundaries anomalous by suppression errors. A convolution-based multilayer projection model, based...

Ringing artifact degradations always appear in the deconvolution of geophysical data. To address this problem, we propose a postprocessing approach to suppress ringing artifacts that uses novel anisotropic diffusion based on stationary wavelet transform (SWT) algorithm. In paper, discuss suppression problem and analyze characteristics artifact. The data containing are decomposed into different SWT subbands for analysis, new multiscale adaptive filter is developed these degradations. Finally,...

<title>Abstract</title> The origin of magnetic anomalies and lunar swirls has long puzzled scientists. prevailing theory posits that an ancient dynamo core field magnetized extralunar meteoritic materials, leading to the current remnant shield against solar wind ions, thereby contributing formation swirls. Our research reveals these are result electrical currents traversed Moon’s surface, generating powerful magnetizing fields impacting both native rocks projectile materials. We have...

Abstract This study introduces a pioneering methodology for modeling the Earth’s geomagnetic field, departing from traditional reliance on current loops by employing three‐dimensional (3‐D) geometric equivalent toroidal source. We propose 3‐D unstructured magnetization vector inversion method aimed at inverting field data set to construct an Subsequently, this constructed source is utilized solve distribution of currents. Our objective elucidate and analyze potential distributions currents...

The origins of the lunar magnetic anomalies and swirls have long puzzled scientists.The prevailing theory posits that an ancient dynamo core field magnetized extralunar meteoritic materials, leading to current remnant shield against solar wind ions, thereby contributing formation swirls. Our research reveals these are result electrical currents traversed Moon's surface, generating powerful magnetizing fields impacting both native rocks projectile materials. We reconstructed 3-D distribution...

In this paper, we presented a ringing metric to evaluate the quality of images restored using iterative image restoration algorithms. A metrics is used assessment based on Gabor filter. The experimental results validate proposed method perform well over wide range levels assessment. And model has given good agreement with observer ratings obtained in subjective experiments.

This paper describes a new anisotropic diffusion method for removing ringing artifacts from deconvolution images. The characteristics of the image artifact are also analyzed. Unlike previous methods that use global statistical value as scale function, proposed defines function based on local to recognize artifacts. performs well in terms images' detail preservation, error reduction, and improvement visual quality presence various levels

Abstract Magnetic anomalies commonly contain generated by crustal rocks that have variable mineral compositions and natural remanent magnetizations. Recovery of magnetic parameters from superimposed anomaly sources is therefore important for exploration geological studies. Superposition leads to nonnegligible errors inversion interpretation. Therefore, extraction essential data processing; however, existing methods cannot extract caused without substantial depth differences. A novel low‐rank...