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Journal articles on the topic 'Aeromagnetic data image processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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1

Kowalik, W. S., and W. E. Glenn. "Image processing of aeromagnetic data and integration with Landsat images for improved structural interpretation." GEOPHYSICS 52, no. 7 (1987): 875–84. http://dx.doi.org/10.1190/1.1442358.

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Digital image processing of aeromagnetic data from three mineral prospects significantly improved the existing structural interpretations that were made from contour maps of the aeromagnetic data. Useful image‐processing techniques include (1) presentation as small‐scale, gray‐level images, (2) local contrast enhancement, (3) artificial illumination, and (4) directional filtering. Digital processing also enables direct comparison between Landsat data and aeromagnetic data. Interpretations were improved by the study of the integrated data sets. Images of aeromagnetic data from one prospect in a

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2

Yigui, Lionel Cedric, Theophile Ndougsa-Mbarga, Arsène Meying, and Olivier Ulrich-Igor Owono-Amougou. "Detection of sub-surface fractures based on filtering, modeling, and interpreting aeromagnetic data in the Deng Deng – Garga Sarali area, Eastern Cameroon." Open Geosciences 14, no. 1 (2022): 646–62. http://dx.doi.org/10.1515/geo-2022-0357.

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Abstract The aeromagnetic anomalies existing in the Deng Deng – Garga Sarali region in Eastern Cameroon were filtered for a structural study of the region’s subsoil. This study presents the results of lineaments and fractures extracted by aeromagnetic image processing methods and compared with scientific data to obtain potential terrain models in the study area. The methodological approach used is based on the filtering of aeromagnetic image by using the analytical signal, the Euler deconvolution, and 2D3/4 modeling, to establish the maps of the lineaments and faults of the study area and thei

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Soulaimani, Ayoub, Saïd Chakiri, Saâd Soulaimani, et al. "Semi-Automatic Image Processing System of Aeromagnetic Data for Structural and Mining Investigations (Case of Bou Azzer Inlier, Central Anti-Atlas, Morocco)." Applied Sciences 12, no. 21 (2022): 11270. http://dx.doi.org/10.3390/app122111270.

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Numerical analysis of geophysical data to uncover Precambrian belts and probably to enclose mineral deposits is becoming once more communal in mining activity. The method is founded on typifying zones branded to comprehend deposits and looking for analogous areas. The proposed work outlines a semi-automatic image processing system for the structural and mining investigation of the Bou Azzer inlier, which varies from preceding approaches as it is centered only on aeromagnetic data. The aeromagnetic signature of what seem to be geologically expressive features are pursued within the aeromagnetic

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Naprstek, Tomas, and Richard S. Smith. "A new method for interpolating linear features in aeromagnetic data." GEOPHYSICS 84, no. 3 (2019): JM15—JM24. http://dx.doi.org/10.1190/geo2018-0156.1.

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When aeromagnetic data are interpolated to make a gridded image, thin linear features can result in “boudinage” or “string of beads” artifacts if the anomalies are at acute angles to the traverse lines. These artifacts are due to the undersampling of these types of features across the flight lines, making it difficult for most interpolation methods to effectively maintain the linear nature of the features without user guidance. The magnetic responses of dikes and dike swarms are typical examples of the type of geologic feature that can cause these artifacts; thus, these features are often diff

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McDonald, A. J. W., C. J. N. Fletchert, R. M. Carruthers, D. Wilson, and R. B. Evans. "Interpretation of the regional gravity and magnetic surveys of Wales, using shaded relief and Euler deconvolution techniques." Geological Magazine 129, no. 5 (1992): 523–31. http://dx.doi.org/10.1017/s0016756800021683.

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AbstractRegional gravity and aeromagnetic data of Wales have been processed using a variety of techniques. Image processing has greatly assisted qualitative interpretation, whilst automated procedures have provided additional quantitative information. The shaded relief images emphasize gradients in the potential fields, and are useful for displaying strong linear features. The Euler deconvolution method produces plotted solution maps, which define the position of the source of the gravity and magnetic anomalies. Euler solution maps of Wales and the adjacent continental shelf are presented for

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Thurston, Jeffrey B., and Richard S. Smith. "Automatic conversion of magnetic data to depth, dip, and susceptibility contrast using the SPI (TM) method." GEOPHYSICS 62, no. 3 (1997): 807–13. http://dx.doi.org/10.1190/1.1444190.

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The Source Parameter Imaging (SPI™) method computes source parameters from gridded magnetic data. The method assumes either a 2-D sloping contact or a 2-D dipping thin‐sheet model and is based on the complex analytic signal. Solution grids show the edge locations, depths, dips, and susceptibility contrasts. The estimate of the depth is independent of the magnetic inclination, declination, dip, strike and any remanent magnetization; however, the dip and the susceptibility estimates do assume that there is no remanent magnetization. Image processing of the source‐parameter grids enhances detail

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Chacksfield, B. C., W. De Vos, L. D'Hooge, et al. "A new look at Belgian aeromagnetic and gravity data through image-based display and integrated modelling techniques." Geological Magazine 130, no. 5 (1993): 583–91. http://dx.doi.org/10.1017/s0016756800020884.

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AbstractDigital processing and image-based display techniques have been used to generate contour and shaded-relief maps of Belgian aeromagnetic data at a scale of 1:300000 for the whole of Belgium. These highlight the important anomalies and structural trends, particularly over the Brabant Massif. North and vertically illuminated shaded-relief plots, enhanced structural belts trending west–east to northwest–southeast in the Brabant Massif and west–east to southwest–northeast in the core of the Ardennes. The principal magnetic lineaments have been identified from the shaded-relief plots and ten

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Pettifer, G., A. Tabassi, and B. Simons. "A NEW LOOK AT THE STRUCTURAL TRENDS IN THE ONSHORE OTWAY BASIN, VICTORIA, USING IMAGE PROCESSING OF GEOPHYSICAL DATA." APPEA Journal 31, no. 1 (1991): 213. http://dx.doi.org/10.1071/aj90016.

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Although the Otway Basin is oriented west-north-westerly, and previously recognised major structural elements follow a similar trend, other structural trends have been found on recently obtained geophysical data.In 1989, an aeromagnetic and radiometric survey of the onshore Otway Basin was completed for the Victorian Department of Industry and the Bureau of Mineral Resources, Geology and Geophysics. This survey, together with a recent gravity compilation by the Geological Survey of Victoria, enables analysis of magnetic and gravity data trends reflecting basement and intra-basin structure.The

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Rosa, João Willy Corrêa, José Wilson Corrêa Rosa, and Götz Bokelmann. "Lateral variation of crustal properties from aerogeophysical data in northern Brazil." GEOPHYSICS 82, no. 5 (2017): J39—J60. http://dx.doi.org/10.1190/geo2016-0206.1.

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A new method is proposed for the study of crustal azimuthal anisotropy, and the lateral variation of other crustal aerogeophysical parameters, using a quantitative approach. The processing of a large, newly acquired, high-resolution set of aerogeophysical data is considered using the existing Radon transform and the geostatistical analysis approaches. The data set includes an area of the Guyana shield, in northern Brazil, which was not included in previous surveys. The area is covered by dense rain forest vegetation and thick soil layers. Parameterization was performed considering the possible

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Rahman, Aqeel, Inass Almallah, and Ahmed Mousa. "Lineaments Tracing of Magnetic Sources Depending on the Aeromagnetic Data: Case Study in Salman Basin and Surrounding Areas, Southern Desert of Iraq." Iraqi Geological Journal 55, no. 1D (2022): 184–98. http://dx.doi.org/10.46717/igj.55.1d.14ms-2022-04-30.

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This study deals with the processing and analysis of aeromagnetic data for an area covering the region of Salman Basin within AL- Muthanna, Iraq. The objective of this study is to use the available satellite images and aeromagnetic data to investigate the boundaries of geological structures. For further understanding of the tectonic of the study area, the Centre for Exploration Targeting Grid Analysis extension which is available in Oasis montaj software was applied to the data. It is proposed that it provides unbiased results, but to check the results Tilt Derivative or local phase derivative

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Bozzo, E., F. Ferraccioli, M. Gambetta, et al. "Recent progress in magnetic anomaly mapping over Victoria Land (Antarctica) and the GITARA 5 survey." Antarctic Science 11, no. 2 (1999): 209–16. http://dx.doi.org/10.1017/s0954102099000279.

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Magnetic anomaly mapping is used to interpret crustal structure and tectonic evolution of Victoria Land and of the adjacent Ross Sea. Previous interpretation of magnetic anomalies verified seismic and gravimetric findings in the Ross Sea by placing additional constraints both on crustal structure and magmatism of the West Antarctic rift system. An aeromagnetic map of the central-southern part of Victoria Land produced in the framework of the GITARA project, provides new crustal images of part of the Transantarctic Mountains rift shoulder. The map was interpreted to study the transition between

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Li, Shu-Ling, and Yaoguo Li. "Inversion of magnetic anomaly on rugged observation surface in the presence of strong remanent magnetization." GEOPHYSICS 79, no. 2 (2014): J11—J19. http://dx.doi.org/10.1190/geo2013-0126.1.

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We study the inversion of magnetic data acquired over a rugged observation surface and where the buried source bodies have strong remanent magnetization that leads to unknown total magnetization directions. These factors pose significant challenges for processing and inversion of such data. To tackle the challenges from both a rugged observation surface and an unknown magnetization direction, we propose a strategy through the joint use of the equivalent source technique and 3D amplitude inversion to obtain 3D magnetization strength. We use equivalent source processing to calculate the amplitud

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West, Gordon F., and Richard E. Ernst. "Evidence from aeromagnetics on the configuration of Matachewan dykes and the tectonic evolution of the Kapuskasing Structural Zone, Ontario, Canada." Canadian Journal of Earth Sciences 28, no. 11 (1991): 1797–811. http://dx.doi.org/10.1139/e91-160.

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By digital image processing of federal–provincial aeromagnetic survey data for the south-central Superior Province, we have obtained an improved picture of the distribution of dykes in the huge Matachewan mafic dyke swarm (2454 Ma). We deduce from it a picture of post-emplacement deformation in the vicinity of the uplifted granulite gneisses of the Kapuskasing Structural Zone (KSZ). Matachewan dykes are emplaced in three subswarms. The two easterly subswarms are clearly truncated by the KSZ's eastern boundary faults. The western subswarm shows an open Z-bend as it crosses the KSZ, but it does

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DENTITH, M. C., A. W. R. BEVAN, J. BACKHOUSE, W. E. FEATHERSTONE, and C. KOEBERL. "Yallalie: a buried structure of possible impact origin in the Perth Basin, Western Australia." Geological Magazine 136, no. 6 (1999): 619–32. http://dx.doi.org/10.1017/s0016756899003386.

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An enigmatic buried structure, located in Mesozoic sedimentary rocks in the Perth Basin, Western Australia, was discovered in 1990 by Ampol Exploration. The basin-like Yallalie structure (centred on 30° 26′ 40.3″ S, 115° 46′ 16.4″ E) is circular in plan view and about 12 km in diameter. High-resolution, seismic-reflection profiles across the structure show a basin-shaped area of chaotic reflections that extend to a depth of approximately 2 km below the surface. The structure has sharp boundaries with surrounding faulted, but otherwise relatively undisturbed, rocks. In the centre of the structu

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Oni, Olubukola A., and Ahzegbobor P. Aizebeokhai. "Aeromagnetic data processing using MATLAB." IOP Conference Series: Earth and Environmental Science 993, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1755-1315/993/1/012017.

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Abstract This study focuses on the evaluation of magnetic field variation in a two-dimensional plot in form of a contour map by carrying out interpolation on the magnetic field data and mapping regional structures to infer the direction of dykes. To pinpoint areas of magnetic highs and lows, MATLAB program was used to delineate magnetic field trends on the data. The program was also used to produce graphical, colourized and contoured plots of data from XYZ files (data with random locations) using interpolation functions. The program was used for both gridding and smoothening of the magnetic fi

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Bongiolo, Alessandra De Barros e. Silva, Francisco José Fonseca Ferreira, André Virmond Lima Bittencourt, and Eduardo Salamuni. "CONNECTIVITY AND MAGNETIC-STRUCTURAL COMPARTMENTALIZATION OF THE SERRA GERAL AND GUARANI AQUIFER SYSTEMS IN CENTRAL STATE OF PARANÁ (PARANÁ BASIN, BRAZIL)." Revista Brasileira de Geofísica 32, no. 1 (2014): 141. http://dx.doi.org/10.22564/rbgf.v32i1.402.

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ABSTRACT. Recent research projects on the Guarani Aquifer System (GAS-granular), Paraná Basin, Brazil, have been evaluating the tectonic control and its hydrogeological potential, flow patterns, chemical properties and environmental protection aspects.One of this projects is the present research that has investigated a structured area in central State of Paraná of about 23,000 km2, delimited by coordinates 24◦00’S and 25◦00’S, 51◦00’W and 53◦00’W. The study involves Geographic Information System (GIS) integration of aeromagnetic, geological and structural characterization of lineaments based o

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Florio, Giovanni, Salvatore Passaro, Giovanni de Alteriis, and Federico Cella. "Magnetic Anomalies of the Tyrrhenian Sea Revisited: A Processing Workflow for Enhancing the Resolution of Aeromagnetic Data." Geosciences 12, no. 10 (2022): 377. http://dx.doi.org/10.3390/geosciences12100377.

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We propose a processing workflow to enhance the information content of aeromagnetic data. Our workflow is based on the downward continuation and subsequent L-transform of magnetic data. This workflow returns a map showing single highs, which correspond to the location of magnetic bodies, and does not need any a priori information about the source magnetization. We validated our workflow using the aeromagnetic anomalies of the Tyrrhenian Sea (Italy), by a comparison of the reprocessed aeromagnetic anomalies with high-resolution shipborne magnetic data in three selected areas. Through this compa

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Ridsdill‐Smith, T. A., and M. C. Dentith. "The wavelet transform in aeromagnetic processing." GEOPHYSICS 64, no. 4 (1999): 1003–13. http://dx.doi.org/10.1190/1.1444609.

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The discrete wavelet transform (DWT) provides an effective and efficient alternative to traditional Fourier and spatial‐convolution processing techniques in the enhancement of aeromagnetic data. Standard operators such as horizontal and vertical derivatives, integrals of any order, and the Hilbert transform can be diagonalized in the wavelet domain, leading to an efficient algorithm. The DWT preserves the spatial localization of the components of the signal, allowing for intelligent discrimination between noise and signal in a given frequency range. This, for example, allows for more accurate

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Rajagopalan, Shanti, and Peter Milligan. "Image Enhancement of Aeromagnetic Data using Automatic Gain Control." Exploration Geophysics 25, no. 4 (1994): 173–78. http://dx.doi.org/10.1071/eg994173.

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Ayigun, Sunday, K. Y. Hamid, and Omoniyi O. Titilola. "Review: Spectral Analysis of Aeromagnetic Data Interpretation." International Research Journal of Pure and Applied Physics 9, no. 1 (2022): 1–11. http://dx.doi.org/10.37745/irjpap.13/vol9n1111.

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Spectral analysis of aeromagnetic data interpretation method is a vital tool in the field of geology and geophysics for solid minerals, groundwater, hydrocarbon and geothermal energy exploration. Human existence depends on availability of mineral and their explorations for daily activities in every part of the world. In order to reduce the scarcity of minerals and problems associated with minerals exploration, this paper reviews shed more light on source of data acquisition, data processing and interpretation in respect to the subject matter. Two case studies were considered, the first case st

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Gregotski, Mark E., Olivia Jensen, and Jafar Arkani‐Hamed. "Fractal stochastic modeling of aeromagnetic data." GEOPHYSICS 56, no. 11 (1991): 1706–15. http://dx.doi.org/10.1190/1.1442983.

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We present a convolutional linear data model for the processing of aeromagnetic data. The model assumes that the data derive from the superposition of a deterministic system function and a stochastic innovation process. The two‐dimensional system function is described by a four‐pass autoregressive (AR) filtering procedure and is radially symmetric. The innovation process represents the distribution of near‐surface magnetic sources and is modeled as a spectrally self‐scaling (i.e., fractal) noise. The appropriate fractal noise is determined by examining aeromagnetic power spectra from various a

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Yu, Ping, Fengyi Bi, Jian Jiao, Xiao Zhao, Shuai Zhou, and Zhenning Su. "An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network." Applied Sciences 12, no. 21 (2022): 10759. http://dx.doi.org/10.3390/app122110759.

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Aeromagnetic compensation is a crucial step in the processing of aeromagnetic data. The aeromagnetic compensation method based on the linear regression model has poorer fitting capacity than the neural network aeromagnetic compensation algorithm. The existing gradient updating neural network-based aeromagnetic compensation algorithm is subject to the problem that the gradient disappears during the backpropagation process, resulting in poor fitting ability and affecting aeromagnetic compensation accuracy. In this paper, we propose a neural network compensation algorithm with strong fitting abil

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Zhou, Shuai, Changcheng Yang, Zhenning Su, Ping Yu, and Jian Jiao. "An Aeromagnetic Compensation Algorithm Based on Radial Basis Function Artificial Neural Network." Applied Sciences 13, no. 1 (2022): 136. http://dx.doi.org/10.3390/app13010136.

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Aeromagnetic exploration is a magnetic exploration method that detects changes of the earth’s magnetic field by loading a magnetometer on an aircraft. With the miniaturization of magnetometers and the development of unmanned aerial vehicles (UAV) technology, UAV aeromagnetic surveying plays an increasingly important role in mineral exploration and other fields due to its advantages of low cost and safety. However, in the process of aeromagnetic measurement data, due to the ferromagnetic material of the aircraft itself and the change of flight direction and attitude, magnetic field interference

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Shobha, C., T. Geeta Prasanna, K. Nirmala, et al. "A package for digital processing and automatic contouring of aeromagnetic data." Journal of the Indian Society of Remote Sensing 22, no. 2 (1994): 93–102. http://dx.doi.org/10.1007/bf03023879.

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Mohamed, Ahmed, Mohamed Abdelrady, Fahad Alshehri, Mohammed Atef Mohammed, and Ahmed Abdelrady. "Detection of Mineralization Zones Using Aeromagnetic Data." Applied Sciences 12, no. 18 (2022): 9078. http://dx.doi.org/10.3390/app12189078.

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Every day, mining corporations grow and develop over Egypt’s Eastern Desert in search of gold, silver, and other metals. Mineral resources in Egypt are a powerful tool for increasing national income. In this study, we are interested in mineral exploration, such as gold and porphyry deposits, using aeromagnetic data, applying various processing techniques such as First Vertical Derivative, Total Horizontal Gradient, Analytical Signal, Tilt Derivative, and the center of exploration targeting (CET). The study area is located at the Central Eastern Desert, which includes the Barramiya, Abu Marwa,

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Rigoti, Augustinho, Antonio L. Padilha, F. H. Chamalaun, and Nalin B. Trivedi. "Effects of the equatorial electrojet on aeromagnetic data acquisition." GEOPHYSICS 65, no. 2 (2000): 553–58. http://dx.doi.org/10.1190/1.1444750.

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In recent years, considerable advances have taken place in aeromagnetic surveying. These improvements involved data acquisition (instruments and survey design), processing, and interpretation. In addition to improved spatial resolution, the high‐resolution aeromagnetics, as applied to oil exploration, attempts to resolve very low amplitude (1 nT or even subnanotesla) magnetic features (Paterson and Reeves, 1985). These features are caused by weak intra‐sedimentary magnetic sources of magnetite and pyrrhotite, which could have been formed as a result of hydrocarbon seepage (e.g., Reynolds et al

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Ashwini, C. P., and B. M. Divya. "Medicine Image Data Abstraction Using Image Processing." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4103–5. http://dx.doi.org/10.1166/jctn.2020.9026.

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In order to show signs of improvement recuperation and maintain a strategic distance from any reactions it is significant that the patient should take right drug for the affliction is they are enduring with. Medication data on names is a noteworthy wellspring of learning for patients. This is the significant part of prescription however we are discovering numerous cases wherein the incorrect data about the medication may make terrible effects on the individuals and will in general broaden numerous issues as opposed to decreasing the ailment. The fundamental explanation behind this, is absence

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Tucker, D. H., I. G. Hone, D. Downie, A. Luyendyk, K. Horsfall, and V. Anfiloff. "Aeromagnetic regional survey of onshore Australia." GEOPHYSICS 53, no. 2 (1988): 254–65. http://dx.doi.org/10.1190/1.1442460.

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The Australian Bureau of Mineral Resources (BMR) is responsible for the National Airborne Magnetic Database. This data base consists of results from approximately 3 500 000 line‐km of regional survey flying carried out over 35 years, recording total magnetic intensity. The magnetic data base is one of the most important geophysical data bases for Australia and is used extensively by the minerals and petroleum exploration industries. First‐pass coverage of onshore Australia is aimed for completion in 1992. This coverage contains data from surveys with a wide range of specifications, resulting i

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de Miranda, Fernando Pellon, Anne E. McCafferty, and James V. Taranik. "Reconnaissance geologic mapping of a portion of the rain‐forest‐covered Guiana Shield, Northwestern Brazil, using SIR-B and digital aeromagnetic data." GEOPHYSICS 59, no. 5 (1994): 733–43. http://dx.doi.org/10.1190/1.1443631.

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This paper documents the result of an integrated analysis of spaceborne radar (SIR-B) and digital aeromagnetic data carried out in the heavily forested Guiana Shield. The objective of the research is to interpret the geophysical data base to its limit to produce a reconnaissance geologic map as an aid to ground work planning in a worst‐case setting. Linear geomorphic features were identified based on the interpretation of the SIR-B image. Digital manipulation of aeromagnetic data allowed the development of a color‐shaded relief map of reduced‐to‐pole magnetic anomalies, a terrace‐magnetization

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Liu, Yan-Xu, Wen-Yong Li, Zhi-Yuan Liu, et al. "Occurrence Characteristics of Magnetite and Aeromagnetic Prospecting Northeast of Hebei Province." Minerals 12, no. 9 (2022): 1158. http://dx.doi.org/10.3390/min12091158.

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The occurrence characteristics of magnetite and the methods to quickly and effectively explore are important topics for ore prospecting in the new era. Taking northeast of Hebei Province of China as an example, this article aimed at an important strategic mineral of magnetite, then discussed its distribution characteristics and aeromagnetic exploration methods of it. First of all, we discuss the occurrence characteristics of sedimentary metamorphic and magmatic magnetite. Then, using the latest high-precision aeromagnetic data, combined with the geological outcrops, known iron deposits, ground

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Kurniawan, Hendra, Melda Agarina, and Suhendro Yusuf Irianto. "Image Processing: Capturing Student Attendance Data." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 16, no. 7 (2017): 7002–9. http://dx.doi.org/10.24297/ijct.v16i7.6390.

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Role of the student attendance record is very important in the primary, secondary, and tertiary education. The purpose of this record is monitoring student activity in the teaching and learning process and regarded as one of the important learning assessments. Moreover, a data processing for recording the student attendance is currently done in various ways such as fingerprint, radio frequent identification (RFID), facial recognition system, android-based application, and others. However, many conventional ways (i.e., using paper-based system) are still used, especially in Indonesia. This is b

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Earl Barnes, W., and Earl E. Gose. "Functional image data acquisition and processing." Seminars in Nuclear Medicine 17, no. 1 (1987): 58–71. http://dx.doi.org/10.1016/s0001-2998(87)80007-7.

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Lee, Hyun-Ho. "Image Processing of GPR Detection Data." Journal of the Korea institute for structural maintenance and inspection 20, no. 4 (2016): 104–10. http://dx.doi.org/10.11112/jksmi.2016.20.4.104.

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Narayanan, P. J., and Larry S. Davis. "Replicated data algorithms in image processing." CVGIP: Image Understanding 56, no. 3 (1992): 351–65. http://dx.doi.org/10.1016/1049-9660(92)90047-7.

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Ibarra-Castanedo, C., D. González, M. Klein, M. Pilla, S. Vallerand, and X. Maldague. "Infrared image processing and data analysis." Infrared Physics & Technology 46, no. 1-2 (2004): 75–83. http://dx.doi.org/10.1016/j.infrared.2004.03.011.

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Rejl, J., S. Saic, and K. Dědáček. "Processing of aerogeophysical data by PERICOLOR image processing system." Surveys in Geophysics 12, no. 6 (1991): 507–14. http://dx.doi.org/10.1007/bf01961108.

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Chouhan, Preeti, and Mukesh Tiwari. "Image Retrieval Using Data Mining and Image Processing Techniques." IJIREEICE 3, no. 12 (2015): 53–58. http://dx.doi.org/10.17148/ijireeice.2015.31212.

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Xia, Jianghai, William E. Doll, Richard D. Miller, T. Jeffrey Gamey, and Abraham M. Emond. "A moving hum filter to suppress rotor noise in high-resolution airborne magnetic data." GEOPHYSICS 70, no. 4 (2005): G69—G76. http://dx.doi.org/10.1190/1.1990216.

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A unique filtering approach is developed to eliminate helicopter rotor noise. It is designed to suppress harmonic noise from a rotor that varies slightly in amplitude, phase, and frequency and that contaminates aeromagnetic data. The filter provides a powerful harmonic noise-suppression tool for data acquired with modern large-dynamic-range recording systems. This three-step approach — polynomial fitting, bandpass filtering, and rotor-noise synthesis — significantly reduces rotor noise without altering the spectra of signals of interest. Two steps before hum filtering — polynomial fitting and

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Skilbrei, Jan Reidar, and Ola Kihle. "Display of residual profiles versus gridded image data in aeromagnetic study of sedimentary basins: A case history." GEOPHYSICS 64, no. 6 (1999): 1740–47. http://dx.doi.org/10.1190/1.1444679.

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High‐pass filtered aeromagnetic profiles from the Mid‐Norwegian continental shelf, displayed as shaded relief versions of color stripes, provide a lucid picture of sedimentary layering and structure not easily displayed by proper application of modern enhancement techniques to images of the gridded aeromagnetic data. We show that when the aim is to analyze anomalies related to sedimentary features, it is more useful to study shaded relief versions of the profile data than to study digitally enhanced images of high‐pass filtered or calculated gradient data; a reason for this is probably the los

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Holden, Eun-Jung, Jason C. Wong, Peter Kovesi, Daniel Wedge, Mike Dentith, and Leon Bagas. "Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration." Ore Geology Reviews 46 (August 2012): 47–59. http://dx.doi.org/10.1016/j.oregeorev.2011.11.002.

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Gruzdev, R. "Magnetic survey – ground technology, aeromagnetic survey on aircraft and unmanned aerial vehicles: a comparative analysis of the results (on the example of Eastern Transbaikalia)." Transbaikal State University Journal 26, no. 8 (2020): 6–15. http://dx.doi.org/10.21209/2227-9245-2020-26-8-6-15.

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The use of unmanned aerial vehicles (UAVs) in geophysical work is becoming a very popular area in the field of modern geological exploration. The advantage of unmanned systems is the optimal ratio of the quality of research results with a significant increase in work productivity and a decrease in cost. In this regard, the improvement of field techniques and the processing of UAV materials is of particular interest for exploration. On the subject, there are a number of unresolved issues that have been revealed to some extent as a result of the author’s comparison of ground-based magnetic explo

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Zhang, Sheng, Xiao Hong Meng, and Ya Ning Liu. "An Interpolation Method for Data Containing Distortions and its Application to Aeromagnetic Data Preprocessing." Applied Mechanics and Materials 644-650 (September 2014): 1543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1543.

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Nowadays, continuous sampling data have been widely used in the research field. However, many unpredictable distortion data points, caused by varying reasons, appear in the raw data randomly. Therefore, removing distortion data points are obligatory for raw data processing. The conventional method is the artificial recognition method, which has serious problems when applied to large volumes of data. Another way is the filtering method, which is limited by application conditions, has a bad influence on valid data what people do not expect. In this paper, we proposed an effective interpolation m

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Aina, Oni Olubukola, Ahzegbobor P. Aizebeokhai, and Boyo Henry Oritsemamididasan. "Analysis of aeromagnetic filtering techniques in locating the primary target in sedimentary terrain: A review." Open Physics 19, no. 1 (2021): 912–20. http://dx.doi.org/10.1515/phys-2021-0045.

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Abstract This article analyzes some aeromagnetic filtering techniques for mitigating deceptive geophysical conceptions that may result in a distorted range of geological information from aeromagnetic data. The implication of using the aeromagnetic method, data processing, and enhancement to distinguish sediment-produced anomalies was considered. Two methods to locate buried faults in aeromagnetic data were compared: Edge and fault detection were considered using the magnetic contrast and horizontal gradient methods, whereas rapid depth estimation was considered using the Euler deconvolution me

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Sakauchi, Masao. "Special Issue Image Processing. 3. New Application of Image Processing. 3-6 Image and Multimedia Data-base." Journal of the Institute of Television Engineers of Japan 46, no. 11 (1992): 1474–79. http://dx.doi.org/10.3169/itej1978.46.1474.

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Mehraj, Nadiya, and Harveen Kour. "Data Processing Through Image Processing using Gaussian Minimum Shift Keying." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 977–81. http://dx.doi.org/10.31142/ijtsrd18819.

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Ono, Kiyonobu, Makoto Maruya, Takashi Fujimura, Tsunekazu Kimura, and Minoru Murata. "3-2. Satellite Image Data Processing Techniques." Journal of The Institute of Image Information and Television Engineers 66, no. 6 (2012): 465–69. http://dx.doi.org/10.3169/itej.66.465.

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Temma, T., M. Iwashita, K. Matsumoto, H. Kurokawa, and T. Nukiyama. "Data flow processor chip for image processing." IEEE Transactions on Electron Devices 32, no. 9 (1985): 1784–91. http://dx.doi.org/10.1109/t-ed.1985.22198.

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Fitzke, F. W., D. P. Crabb, A. I. McNaught, D. F. Edgar, and R. A. Hitchings. "Image processing of computerised visual field data." British Journal of Ophthalmology 79, no. 3 (1995): 207–12. http://dx.doi.org/10.1136/bjo.79.3.207.

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Smigiel, Eddie, Emmanuel Alby, and Pierre Grussenmeyer. "TLS data denoising by range image processing." Photogrammetric Record 26, no. 134 (2011): 171–89. http://dx.doi.org/10.1111/j.1477-9730.2011.00631.x.

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Hongian, You, Liu Schaochuang, and Li Shukai. "Data processing technology of airborne 3D image." Geo-spatial Information Science 4, no. 3 (2001): 62–67. http://dx.doi.org/10.1007/bf02826926.

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