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1

Wu, Peilin, Qunying Zhang, Luzhao Chen, Wanhua Zhu, and Guangyou Fang. "Aeromagnetic Compensation Algorithm Based on Principal Component Analysis." Journal of Sensors 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/5798287.

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Aeromagnetic exploration is an important exploration method in geophysics. The data is typically measured by optically pumped magnetometer mounted on an aircraft. But any aircraft produces significant levels of magnetic interference. Therefore, aeromagnetic compensation is important in aeromagnetic exploration. However, multicollinearity of the aeromagnetic compensation model degrades the performance of the compensation. To address this issue, a novel aeromagnetic compensation method based on principal component analysis is proposed. Using the algorithm, the correlation in the feature matrix is eliminated and the principal components are using to construct the hyperplane to compensate the platform-generated magnetic fields. The algorithm was tested using a helicopter, and the obtained improvement ratio is 9.86. The compensated quality is almost the same or slightly better than the ridge regression. The validity of the proposed method was experimentally demonstrated.
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2

Hansen, R. O., and Eduard deRidder. "Linear feature analysis for aeromagnetic data." GEOPHYSICS 71, no. 6 (November 2006): L61—L67. http://dx.doi.org/10.1190/1.2357831.

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This paper presents a new approach to detecting and two approaches to displaying lineaments associated with high-angle magnetic contacts, based on analysis of the curvature of the total horizontal gradient of the total magnetic field reduced to the pole. The first display is a contour or color plot of minus the principal curvature of largest absolute value. The second is a point plot of the local maxima of minus the largest principal curvature in regions where this curvature is negative. The paper also develops a depth-estimation technique for magnetic contacts based on the ratio of the curvature of the total gradient to the total gradient itself. Tests on synthetic data yield excellent results in detecting and delineating magnetic contact edges, and reasonable performance in producing depth estimates for the magnetic contacts. Results obtained using aeromagnetic data from the Finger Lakes region of New York State show good correlation with known structural features.
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3

Cooper, G. R. J. "The antialiased textural analysis of aeromagnetic data." Computers & Geosciences 35, no. 3 (March 2009): 586–91. http://dx.doi.org/10.1016/j.cageo.2008.04.009.

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4

Arogundade, Augustine Babatunde, Olaide Sakiru Hammed, Musa Olufemi Awoyemi, Sesan Cornelius Falade, Ojudoo Darius Ajama, Folarin Adisa Olayode, Adebiyi Samuel Adebayo, and Ayomide Oluyemi Olabode. "Analysis of aeromagnetic anomalies of parts of Chad Basin, Nigeria, using high-resolution aeromagnetic data." Modeling Earth Systems and Environment 6, no. 3 (April 23, 2020): 1545–56. http://dx.doi.org/10.1007/s40808-020-00769-y.

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5

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 exploration and aeromagnetic survey data. The purpose of the study was to assess the possibility of a full-fledged replacement of ground magnetic exploration work for aeromagnetic survey using unmanned aerial vehicles. The comparison of different types of magnetic survey is relevant, since on the basis of the actual material, the possibility of using an alternative more productive method – aeromagnetic survey using modern UAVs – instead of traditional expensive ground-based magnetic exploration works is analyzed. To compare the results of the studies, actual material obtained from field work on an area of 13,4 km2 was used. Based on the databases, maps of anomalous magnetic field and graphs on several geophysical profiles are built. Results of magnetic survey in air and ground versions are analyzed; correlation relationships between data of ground pedestrian magnetic survey and aeromagnetic system on An-3 and UAV aircraft are established. Based on the results of the study, correlation and determination coefficients were obtained, which indicate that geophysical methods on UAVs adequately occupy their place between classical aerogeophysics and ground-based pedestrian survey. Moreover, aeromagnetic survey using UAVs is able to replace pedestrian magnetic exploration during work at the same heights. Based on the results of the study, methodological recommendations for the production of aeromagnetic survey on UAVs were compiled
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6

Lee, Madeline, and William Morris. "Quality assurance of aeromagnetic data using lineament analysis." Exploration Geophysics 44, no. 2 (June 2013): 104–13. http://dx.doi.org/10.1071/eg12034.

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7

Holden, Eun-Jung, Mike Dentith, and Peter Kovesi. "Automatic Analysis of Aeromagnetic Images for Gold Exploration." ASEG Extended Abstracts 2007, no. 1 (December 1, 2007): 1–4. http://dx.doi.org/10.1071/aseg2007ab057.

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8

Kivior, I., and D. Boyd. "THE INTERPRETATION OF AEROMAGNETIC SURVEYS FOR HYDROCARBON EXPLORATION." APPEA Journal 39, no. 1 (1999): 494. http://dx.doi.org/10.1071/aj98030.

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Aeromagnetic surveys have been generally regarded in petroleum exploration as a reconnaissance tool for major structures. They were used commonly in the early stages of exploration to delineate the shape and depth of the sedimentary basin by detecting the strong magnetic contrast between the sediments and the underlying metamorphic basement. Recent developments in the application of computer technology to the study of the earth's magnetic field have significantly extended the scope of aeromagnetic surveys as a tool in the exploration for hydrocarbons. In this paper the two principal methods used in the analysis and interpretation of aeromagnetic data over sedimentary basins are: 1) energy spectral analysis applied to gridded data; and, 2) automatic curve matching applied to profile data. It is important to establish the magnetic character of sedimentary and basement rocks, and to determine the regional magnetic character of the area by applying energy spectral analysis. Application of automatic curve matching to profile data can provide results from the sedimentary section and deeper parts of a basin. High quality magnetic data from an experimental aeromagnetic survey flown over part of the Eromanga/Cooper Basin has recently been interpreted using this new approach. From this survey it is possible to detect major structures such as highs and troughs in the weakly magnetic basement, as well as pick out faults, and magnetic layers in the sedimentary section. The results are consistent with interpretation from seismic and demonstrate that aeromagnetic data can be used to assist seismic interpretation, for example to interpolate between widely spaced seismic lines and sometimes to locate structures which can not be detected from seismic surveys. This new approach to the interpretation of aeromagnetic data can provide a complementary tool for hydrocarbon exploration, which is ideal for logistically difficult terrain and environmentally sensitive areas.
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9

Eaton, D., and K. Vasudevan. "Skeletonization of aeromagnetic data." GEOPHYSICS 69, no. 2 (March 2004): 478–88. http://dx.doi.org/10.1190/1.1707068.

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Skeletonization is a syntactic pattern‐recognition method that is applied to gridded data to produce an automatic line drawing, with an associated event catalog. Previous implementations of skeletonization have been tailored for seismic data. Here, we modify that technique to render it more suitable for other types of gridded data, with particular emphasis on aeromagnetic maps. A modification from previous schemes is the use of a two‐pass approach, to reduce the effects of an otherwise problematic directional bias that discriminates against events oriented parallel to columns of the grid. The method can be used effectively for filtering aeromagnetic data on the basis of strike direction, event linearity, event amplitude, and polarity. It is based on the delineation of peak‐trough pairs (cycles), which are traced throughout the grid to form contiguous events. Cycles and events are characterized by attributes that include amplitude, polarity, and pulse width. Events are further characterized by length, average strike direction, and linearity. The event attributes are stored in a catalog, thus enabling one to perform attribute‐based analysis and data filtering. We illustrate our algorithm using two regional aeromagnetic examples from different parts of the Canadian Shield. The first, from the Great Slave Lake shear zone, is dominated by linear anomaly trends produced by faults and mafic dikes. The second, from the Manicouagan region of northeastern Quebec, contains abundant subcircular and arcuate anomaly patterns caused by large intrusive complexes and a meteorite impact structure.
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10

Dahuwa, Dahiru, Yusuf Abubakar Sanusi, Emmanuel Emeka Udensi, and Musa Momoh. "The Analysis of Aeromagnetic Data overWaseand It Adjoining Area." IOSR Journal of Applied Physics 08, no. 04 (April 2016): 57–66. http://dx.doi.org/10.9790/4861-0804015766.

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11

Naidu, Prabhakar S., and M. P. Mathew. "Digital analysis of aeromagnetic maps: Detection of a fault." Journal of Applied Geophysics 38, no. 3 (January 1998): 169–79. http://dx.doi.org/10.1016/s0926-9851(97)00024-4.

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12

Naidu, Prabhakar S., and M. P. Mathew. "Digital analysis of aeromagnetic maps: Detection of a fault." Computer Standards & Interfaces 20, no. 6-7 (March 1999): 462. http://dx.doi.org/10.1016/s0920-5489(99)91001-2.

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13

Leblanc, George E., and William A. Morris. "Denoising of aeromagnetic data via the wavelet transform." GEOPHYSICS 66, no. 6 (November 2001): 1793–804. http://dx.doi.org/10.1190/1.1487121.

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Noise has traditionally been suppressed or eliminated in aeromagnetic data sets by the use of Fourier analysis filters and, to a lesser degree, nonlinear statistical filters. Although these methods are quite useful under specific conditions, they produce undesirable effects when denoising features of moderate to large amplitude and spatial extent. In this study, a new wavelet analysis procedure is presented that substantially reduces the contribution from high‐frequency random noise and noise that is user defined. Applications to both synthetic data and aeromagnetic data from southern Alberta, Canada, show that the wavelet method eliminates the noise portion of the signal more efficiently and retains a greater amount of geologic data than other methods.
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14

St-Laurent, Christine, Daniel Lebel, Denis Lavoie, Michel Malo, and Camille St-Hilaire. "Integration and spatial analysis of high-resolution geophysical and geological data, eastern Gaspé Peninsula." Canadian Journal of Earth Sciences 41, no. 5 (May 1, 2004): 603–18. http://dx.doi.org/10.1139/e04-025.

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In the vicinity of the Town of Gaspé, the relationships between the Silurian-Devonian sedimentary succession of the Gaspé Belt and the Humber and the Dunnage zones are complex. To unravel these relationships, we used high-resolution aeromagnetic data and regional gravimetric data coupled with field tectonostratigraphic information. The magnetic vertical derivative located several magnetic anomalies associated with near-surface features in the Silurian–Devonian cover sequence. In particular, a conglomerate with magnetic fragments that overlies the Late Silurian Salinic Unconformity is clearly recognizable. Large ovoid anomalies of significant intensity located in the Silurian–Devonian sedimentary cover area cannot be associated with any known geological feature. The interpretation of the high-pass and low-pass filtered aeromagnetic survey indicates that the ovoid anomalies originate below the Silurian–Devonian cover sequence. The most significant of the ovoid anomalies is associated with a gravimetric anomaly. It is proposed that these geophysical anomalies are probably associated with ultramafic and (or) volcanic rocks correlative in the subsurface with outcrops of the Cambrian–Ordovician lithologies of the Lady Step Complex and (or) the Shickshock Group.
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15

Ikumbur, E. B., V. E. Ogah, and M. Akiishi. "Subsurface Structural Mapping over Koton Karifi and Adjoining Areas, Southern Bida Basin, Nigeria, using High-Resolution Aeromagnetic Data." Nigerian Journal of Environmental Sciences and Technology 3, no. 2 (October 2019): 304–16. http://dx.doi.org/10.36263/nijest.2019.02.0151.

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In this current work, we aim to delineate the subsurface structural trends, determine the depth to basement surface, and provide an illustrative 3D model for its subsurface structure. Four digitized aeromagnetic maps were acquired from the Nigerian Geological Survey Agency, Abuja. The total field aeromagnetic anomalies over Koton Karifi and adjoining areas have been evaluated. In order to map the subsurface structures and estimate the depth to basement surface the spectral analysis method was applied. To achieve such goals, a detailed analysis of the aeromagnetic data for the study area was performed. 2D interpretation was carried out for the aeromagnetic data. The processes used include contouring of the Total Magnetic Intensity (TMI) data, separation of regional and residual anomalies, structural detection methods such as analytic signal, vertical derivatives, and magnetic lineament mapping were used to map the contacts and faults within the study area. The first vertical derivative and the magnetic lineament maps show major geologic lineaments trending in East-West with minor ones trending Northeast-Southwest. In the south-eastern part of the study area, there is a dome-shaped linear feature. The result obtained using the spectral analysis method reveals two source depth models. The depths to deeper magnetic sources range from 2.81 km to 3.24 km with an average depth of 2.90 km. The deeper magnetic source bodies are identified with the magnetic basement. The shallower magnetic sources which range from 0.45 km to 1.81 km with an average depth of 1.13 km could be attributed to near surface magnetic sources which are magnetic rocks that intruded into the sedimentary formations or magnetised bodies within the sedimentary cover. Based on the sedimentary thickness range of 0.45 to 3.24 km, there is an indication that the possibility of hydrocarbon generation in the study area is feasible.
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16

Beiki, Majid, Laust B. Pedersen, and Hediyeh Nazi. "Interpretation of aeromagnetic data using eigenvector analysis of pseudogravity gradient tensor." GEOPHYSICS 76, no. 3 (May 2011): L1—L10. http://dx.doi.org/10.1190/1.3555343.

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This study has shown that the same properties of the gravity gradient tensor are valid for the pseudogravity gradient tensor derived from magnetic field data, assuming that the magnetization direction is known. Eigenvectors of the pseudogravity gradient tensor are used to estimate depth to the center of mass of geologic bodies. The strike directions of 2D geological structures are estimated from the eigenvectors corresponding to the smallest eigenvalues. For a set of data points enclosed by a square window, a robust least-squares procedure is used to estimate the source point which has the smallest sum of squared distances to the lines passing through the measurement points and parallel to the eigenvectors corresponding to the maximum eigenvalues. The dimensionality of the pseudogravity field is defined from the dimensionality indicator I, derived from the tensor components. In the case of quasi-2D sources, a rectangular window is used in the robust least-squares procedure to reduce the uncertainty of estimations.Based on synthetic data sets, the method was tested on synthetic models and found to be robust to random noise in magnetic field data. The application of the method was also tested on a pseudogravity gradient tensor derived from total magnetic field data over the Särna area in west-central Sweden. Combined with Euler deconvolution, the method provides useful complementary information for interpretation of aeromagnetic data.
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17

Dou, Zhenjia, Qi Han, Xiamu Niu, Xiang Peng, and Hong Guo. "An Adaptive Filter for Aeromagnetic Compensation Based on Wavelet Multiresolution Analysis." IEEE Geoscience and Remote Sensing Letters 13, no. 8 (August 2016): 1069–73. http://dx.doi.org/10.1109/lgrs.2016.2565685.

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18

Saltus, Richard W., Christopher J. Potter, and Jeffrey D. Phillips. "Crustal insights from gravity and aeromagnetic analysis: Central North Slope, Alaska." AAPG Bulletin 90, no. 10 (October 2006): 1495–517. http://dx.doi.org/10.1306/05090605066.

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19

Ouadfeul, Sid-Ali, Mohamed Hamoudi, Leila Aliouane, and Said Eladj. "Aeromagnetic data analysis using the 2D directional continuous wavelet transform (DCWT)." Arabian Journal of Geosciences 6, no. 6 (January 27, 2012): 1669–80. http://dx.doi.org/10.1007/s12517-011-0454-9.

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20

Grauch, V. J. S., Mark R. Hudson, and Scott A. Minor. "Aeromagnetic expression of faults that offset basin fill, Albuquerque basin, New Mexico." GEOPHYSICS 66, no. 3 (May 2001): 707–20. http://dx.doi.org/10.1190/1.1444961.

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High‐resolution aeromagnetic data acquired over the Albuquerque basin show widespread expression of faults that offset basin fill and demonstrate that the aeromagnetic method can be an important hydrogeologic and surficial mapping tool in sediment‐filled basins. Aeromagnetic expression of faults is recognized by the common correspondence of linear anomalies to surficial evidence of faulting across the area. In map view, linear anomalies show patterns typical of extensional faulting, such as anastomosing and en echelon segments. Depths to the tops of faulted magnetic layers showing the most prominent aeromagnetic expression range from 0 to 100 m. Sources related to subtler fault expressions range in depths from 200 to 500 m. We estimate that sources of the magnetic expressions of the near‐surface faults likely reside within the upper 500–600 m of the subsurface. The linear anomalies in profile form show a range of shapes, but all of them can be explained by the juxtaposition of layers having different magnetic properties. One typical anomaly differs from the expected symmetric fault anomaly by exhibiting an apparent low over the fault zone and more than one inflection point. Although the apparent low could easily be misinterpreted as representing multiple faults or an anomalous fault zone, geophysical analysis, magnetic‐property measurements, and geologic considerations lead instead to a “thin‐thick model” in which magnetic layers of different thickness are juxtaposed. The general geometry of this model is a thin magnetic layer on the upthrown block and a thick magnetic layer on the downthrown block. The thin‐thick model can be represented geologically by growth faulting and syntectonic sedimentation, where relatively coarse‐grained sediment (which is more magnetic than fine‐grained material) has accumulated in the hanging wall. This implies that the aeromagnetic data have potential for mapping growth faults and locating concentrations of coarse‐grained material that may have high hydraulic transmissivity. Although cementation along fault zones is common in portions of the area, we found no evidence that this secondary process results in measurable aeromagnetic anomalies. This observation differs from the findings in other sedimentary basins suggesting that magnetic anomalies arise from secondary magnetization along fault planes.
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21

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 (May 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 map, and a map showing the location of maximum values of the horizontal component of the pseudogravity gradient (magnetization boundary lines). The resultant end product was a reconnaissance geologic map where broad terrane categories were delineated and geologic faults with both topographic and magnetic expression were defined. The availability of global spaceborne radar coverage in the 1990s and the large number of existing digital aeromagnetic surveys in northwestern Brazil indicate that this approach can be potentially useful for reconnaissance geologic mapping elsewhere in the Guiana Shield.
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22

Blakely, Richard J. "Curie temperature isotherm analysis and tectonic implications of aeromagnetic data from Nevada." Journal of Geophysical Research 93, B10 (1988): 11817. http://dx.doi.org/10.1029/jb093ib10p11817.

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23

Blanco-Montenegro, Isabel, J. Miquel Torta, Alicia Garcı́a, and Vicente Araña. "Analysis and modelling of the aeromagnetic anomalies of Gran Canaria (Canary Islands)." Earth and Planetary Science Letters 206, no. 3-4 (February 2003): 601–16. http://dx.doi.org/10.1016/s0012-821x(02)01129-9.

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24

WANG, Tao, Ming-Jie XU, Liang-Shu WANG, Shao-Wen LIU, and Xu-Zhi HU. "Aeromagnetic Anomaly Analysis of Ordos and Adjacent Regions and Its Tectonic Implications." Chinese Journal of Geophysics 50, no. 1 (January 2007): 158–66. http://dx.doi.org/10.1002/cjg2.1022.

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25

Longo, L. M., R. De Ritis, G. Ventura, and M. Chiappini. "Analysis of the Aeromagnetic Anomalies of the Auca Mahuida Volcano, Patagonia, Argentina." Pure and Applied Geophysics 173, no. 10-11 (August 14, 2015): 3273–90. http://dx.doi.org/10.1007/s00024-015-1161-3.

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26

Osagie, Abel Uyimwen, Abdelhakim Eshanibli, and Adekunle Abraham Adepelumi. "Structural trends and basement depths across Nigeria from analysis of aeromagnetic data." Journal of African Earth Sciences 178 (June 2021): 104184. http://dx.doi.org/10.1016/j.jafrearsci.2021.104184.

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27

Pilkington, Mark, and D. J. Crossley. "Inversion of aeromagnetic data for multilayered crustal models." GEOPHYSICS 51, no. 12 (December 1986): 2250–54. http://dx.doi.org/10.1190/1.1442079.

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A common problem in interpreting aeromagnetic data involves mapping of a single magnetic crystalline basement interface overlain by nonmagnetic sedimentary rocks. The solution of this problem, as discussed in Pilkington and Crossley (1986), provides important geologic information. However, difficulties arise where the magnetic effects of the crystalline magnetic interface are obscured by intrusives or volcanic flows within the sedimentary sequence. The resulting problem in the interpretation requires separation of the two effects, so that the modeling problem will be tractable. Unfortunately, in view of the spectral overlap of fields from sources at different depths (e.g., Bhattacharyya, 1966), a perfect separation is not possible. This condition has led to the subjective approach of simply dividing the observed field into low‐wavelength and high‐wavelength parts and interpreting each one independently (Lehmann, 1970; Sprenke and Kanasewich, 1982). An alternative method has been advocated by Spector and Parker (1979) who separate the two effects based on power spectral analysis of the observed field.
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28

Usman, Nuraddeen, and Ibrahim Jibril. "ANALYSIS OF HIGH RESOLUTION AEROMAGNETIC DATA OF SOME PARTS OF BENUE TROUGH, NIGERIA." FUDMA JOURNAL OF SCIENCES 4, no. 2 (July 1, 2020): 76–85. http://dx.doi.org/10.33003/fjs-2020-0402-148.

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This work is aimed to determine the depth to basement of some magnetic sources in the study area. Four aeromagnetic sheets were acquired from the Nigerian Geological Survey Agency which includes (Bajoga, 131, Gulani, 132, Gombe, 152 and Wuyo, 153). The study area covers an estimated area of about 12100km2 between latitude 90N-110N and longitude 110E-130E. The total magnetic field of the study area have been evaluated. In order to determine the basement depth, spectral analysis technique was applied. Detailed analysis of the aeromagnetic data for the study area was performed. The procedure involved in the analysis include reduction to equator to remove the effect of inclination, contouring of the total magnetic intensity, separation of the regional and residual anomalies using polynomial fitting of first order, qualitative interpretation and quantitative interpretation. The residual field of the study area composes of low magnetic anomalies reaching a minimum value of -158.6nT as observed in the northern and southern parts and high magnetic anomalies reaching a maximum value of 178.1nT as observed in the western part of the study area. The result from the spectral analysis for each block shows that the depths to the magnetic source are 5.20Km for block 1, 5.74Km for block 2, 7.59Km for block 3 and 3.56Km for block 4. The average depth to magnetic source in the study area was found to be 5.52Km. Based on the computed average sedimentary thickness obtained in this study area, hydrocarbon accumulation in the study area is feasible.
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29

Barongo, J. O. "Method for depth estimation on aeromagnetic vertical gradient anomalies." GEOPHYSICS 50, no. 6 (June 1985): 963–68. http://dx.doi.org/10.1190/1.1441974.

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The straight‐slope technique introduced some years ago by Vacquier et al. (1951) is employed to develop simple empirical procedures that can be used to determine depth to the top/center of anomalous sources on measured aeromagnetic vertical gradient profiles. Five geologic bodies/structures in the form of their magnetic/geometric model equivalents, namely, point pole, point dipole, finite dipole, dipping dike, and dipping contact are considered. From analysis of the normalized theoretical curves due to those models it is observed that the horizontal projection of the straight part of the steepest sections of each curve is insensitive to changes in the inclination of the Earth’s magnetic field and also to the dip angle of dipping models. Further analysis of the curves using this observation leads to the conclusion that, when dealing with the interpretation of observed vertical gradient profiles, the length of the horizontal projection on a given profile must be doubled to obtain depth to the point‐pole, point‐dipole, or finite‐dipole source. For a geologic contact and a wide but shallow (i.e., the width more than twice the depth) dike, the length of the projection gives the depth for either source. However, a thin but deeply buried (i.e., the width less than twice the depth) dike, requires use of characteristic curves such as those developed in this study. Application of the procedures to observed vertical gradient results from the White Lake region of Ontario, Canada, has proven quite successful.
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Khalil, Ahmed Bakr, Mostafa Toni, Awad Hassoup, and Khamis Mansour. "Analysis of aeromagnetic data for interpretation of seismicity at Fayoum-Cairo area, Egypt." Earth Sciences Research Journal 18, no. 1 (December 11, 2014): 7–13. http://dx.doi.org/10.15446/esrj.v18n1.36938.

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<p>An aeromagnetic reconnaissance study is presented to delineate the subsurface structure and tectonic setting at the Fayoum-Cairo district, which experienced a damaging earthquake on October 12, 1992 of magnitude (M = 5.7). Analysis of aeromagnetic and seismicity data demonstrate three significant tectonic faults with trending to the NE-SW, NW-SE and E-W. The basement is uplifted in the northern and central parts with a depth of 1.3 km, and deepening in the southern part with a depth of 2.5 km. This is a seismically active zone and historically has experienced damaging earthquakes. In 1847, a damaging earthquake with maximum epicentral intensity (Modified Mercalli Intensity (MMI) = VII) was located there. On the eastern side, earthquake sources are well recognized at different locations. These sources created events of moderate size magnitude M &lt; 5. The focal mechanisms of the major events from these sources are generally strike-slip with normal component. The focal mechanism of the earthquake on October 12, 1992 is normal fault type with strike trends in the NW-SE direction. These fault plane solutions are consistent with the tectonic trends derived from the aeromagnetic data mentioned above and suggest that the new tectonics of northeast Africa is predominant. </p><p> </p><p><strong>Resumen</strong></p><p> </p><p>Este estudio presenta una exploración aeromagnética para delimitar la estructura subsuperficial y el marco tectónico del distrito de Fayoum-Cairo, que sufrió un terremoto el 12 de octubre de 1992 de magnitud M=5.7. Los análisis de datos sismicidad y aeromagnéticos señalan tres fallas tectónicas significativas con tendencias NE-SO, NO-SE y E-O. El subsuelo se elevó en el norte y en el centro a una profundidad de 1,3 kilómetros, y se hundió en el sur con una profundidad de 2,5 kilómetros. Esta es una zona sísmicamente activa que en su historia ha tenido terremotos dañinos. En 1847 tuvo lugar un terremoto con intensidad epicentral máxima (escala sismológica de Mercalli) de VII. En el lado este se estudiaron las fuentes de terremotos en diferentes partes. Estas fuentes crearon eventos de magnitud moderada M&lt;5. Los mecanismos focales de los eventos principales en estas fuentes son generalmente fallas de desgarre con componente normal. El mecanismo focal del terremoto del 12 de octubre de 1992 es una falla tipo normal con fuertes movimientos NO-SE. Las soluciones de estas fallas son consistentes con las tendencias tectónicas de los datos aeromagnéticos antes mencionados y sugieren que la nueva tectónica del noreste de África es predominante.</p>
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31

Layade, G. O., and J. A. Adegoke. "Application of Thin Sheet Model for the Analysis and Interpretation of Aeromagnetic Data." Research Journal of Physics 8, no. 1 (January 1, 2014): 28–37. http://dx.doi.org/10.3923/rjp.2014.28.37.

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32

HU, Xu-Zhi, Ming-Jie XU, Xiao-An XIE, Liang-Shu WANG, Qing-Long ZHANG, Shao-Wen LIU, Guo-Ai XIE, and Chang-Ge FENG. "A Characteristic Analysis of Aeromagnetic Anomalies and Curie Point Isotherms in Northeast China." Chinese Journal of Geophysics 49, no. 6 (November 2006): 1533–42. http://dx.doi.org/10.1002/cjg2.981.

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33

Verma, R. K., and Utpal Dutta. "Analysis of aeromagnetic anomalies over the central part of the Narmada-Son lineament." Pure and Applied Geophysics PAGEOPH 142, no. 2 (1994): 383–405. http://dx.doi.org/10.1007/bf00879311.

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34

Nykänen, Vesa, and Gary L. Raines. "Quantitative Analysis of Scale of Aeromagnetic Data Raises Questions About Geologic-Map Scale." Natural Resources Research 15, no. 4 (February 17, 2007): 213–22. http://dx.doi.org/10.1007/s11053-006-9023-4.

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35

Abraham, Ema, Onyekachi Itumoh, Chibuzo Chukwu, and Onwe Rock. "Geothermal Energy Reconnaissance of Southeastern Nigeria from Analysis of Aeromagnetic and Gravity Data." Pure and Applied Geophysics 176, no. 4 (November 6, 2018): 1615–38. http://dx.doi.org/10.1007/s00024-018-2028-1.

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36

Betts, Peter, Helen Williams, John Stewart, and Laurent Ailleres. "Kinematic analysis of aeromagnetic data: Looking at geophysical data in a structural context." Gondwana Research 11, no. 4 (June 2007): 582–83. http://dx.doi.org/10.1016/j.gr.2006.11.007.

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37

Tong, Jing, Li Na Dong, Wan Zhang, and Ling Yan Xia. "Nonlinear Filter Smoothing for Aeromagnetic Vertical First-Order Derivative Contour Mapping on the Scale of 1:250,000." Applied Mechanics and Materials 644-650 (September 2014): 4577–80. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4577.

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By the analysis of two filter smooth method principle on the platform of Oasis Montaj software,the author of the thesis selected one dimension nonlinear filter method to remove the noise signal of aeromagnetic vertical first-order derivative data, not only smoothing the contour but also enhancing the geological structure edge signal effectively.
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38

Spector, Allan, and Thomas L. Lawler. "Application of aeromagnetic data to mineral potential evaluation in Minnesota." GEOPHYSICS 60, no. 6 (November 1995): 1704–14. http://dx.doi.org/10.1190/1.1443903.

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Aeromagnetic, ground magnetic, and gravity data, together with all available drillhole data and physical property measurements, were used to map the Precambrian geology of an area in Minnesota that is virtually devoid of outcrop. The work was done for purposes of land use planning and to encourage minerals exploration and mostly consisted of the analysis of profiles of aeromagnetic data to map magnetic/lithologic contacts, to infer structure, and to determine thickness of overburden cover. Two greenstone belts were resolved. They comprise higher density rocks separated by nonmagnetic metasedimentary intervals. The belts are deformed into synclinal structures that, according to modeling, range from 1 km to as much as 5 km in depth. Lithologic predictions were confirmed in five out of six holes drilled on completion of the magnetic interpretation. In over 40% of the area, Precambrian rocks are apparently mantled by less than 50 m of overburden, and in 50% of the area there is between 50 and 100 m of overburden cover. In the remaining 10%, the magnetic basement is overlain by a thick blanket of nonmagnetic Precambrian sedimentary rocks, over 200 m thick. Basement depth determinations were subsequently tested at six holes. Depth determinations at all drill sites were found to lie within the 20% error expectation of the method of depth determination. Thirty‐seven sites were resolved from the aeromagnetic data as targets for basemetal sulfide (copper, zinc) as well as precious metal (gold) mineralization. Thirteen magnetic anomalies were identified as possible kimberlite pipes.
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39

Prieto, Corine, Carolyn Perkins, and Ernest Berkman. "Columbia River Basalt Plateau—An integrated approach to interpretation of basalt‐covered areas." GEOPHYSICS 50, no. 12 (December 1985): 2709–19. http://dx.doi.org/10.1190/1.1441891.

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An interpretation is presented of a 219 km regional profile which traverses the eastern Columbia River Plateau in Washington State. Aeromagnetic, magnetotelluric (MT), and gravity data were first interpreted separately. All three data sets then were satisfied by a single geologic model. The objective of this case study is to illustrate the individual contributions derived from these three geophysical data sets to a final integrated interpretation. The aeromagnetic interpretation has produced regional structural information and data from which rock compositions can be inferred. The MT interpretation shows that the basalt/sediment interface can be determined, and thus a relative sediment thickness can be inferred. The gravity interpretation is dependent upon an additional method to determine either the basalt or basement horizon. In order for the gravity interpretation to approximate depth to basement or sedimentary thickness, the base of the basalt must be determined from another scientific method. From comparison of the regional structural results of the three geophysical techniques we conclude that aeromagnetic or MT data can be used to determine major structural trends. Reasonable rock compositions are also determined from the combined data sets. The interpreter must be aware of the different rock properties measured by each tool when performing an integrated interpretation; comparisons between the various techniques must be based upon similar assumptions. We recommend that detailed, integrated models be included for a thorough evaluation of any basalt‐covered area. The analysis of rock composition and regional structural information thus derived provides a sound basis for a regional tectonic interpretation and subsequent prospect evaluation.
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40

Guimaraes, Suze Nei P., and Valiya M. Hamza. "Thermomagnetic Features of Crust in Southern Parts of the Structural Provinces of Tocantins and São Francisco, Brazil." ISRN Geophysics 2013 (March 27, 2013): 1–8. http://dx.doi.org/10.1155/2013/382382.

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In the present work we report results of a regional scale investigation of the thermal and magnetic characteristics of the crust in the southern sector of the geologic provinces of Tocantins and São Francisco, Brazil. Updated compilations of aeromagnetic and geothermal data sets were employed for this purpose. Use of such techniques as vertical derivative, analytic signal, and Euler deconvolution in analysis of aeromagnetic data has allowed precise locations of the sources of magnetic anomalies and determination of their respective depths. The anomalies in the Tocantins province are considered as arising from variations in the magnetic susceptibilities and remnant magnetizations of alkaline magmatic intrusions of the Tertiary period. The lateral dimensions of the bodies are less than 10 km, and these are found to occur at shallow depths of less than 20 km. On the other hand, the anomalies in the cratonic areas are related to contrasts in magnetic properties of bodies situated at depths greater than 20 km and have spatial dimensions of more than 50 km. Analysis of geothermal data reveals that the cratonic area is characterized by geothermal gradients and heat flow values lower when compared with those of the Tocantins province.
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41

Odidi, Idena, A. Mallam, and N. Nasir. "INVESTIGATION OF GEOTHERMAL ENERGY POTENTIAL OF PARTS OF CENTRAL AND NORTH-EASTERN NIGERIA USING SPECTRAL ANALYSIS TECHNIQUE." FUDMA JOURNAL OF SCIENCES 4, no. 2 (July 14, 2020): 627–38. http://dx.doi.org/10.33003/fjs-2020-0402-248.

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The current study deals with an estimate of the Curie point depth, heat flow and geothermal gradient from spectral analysis of aeromagnetic data covering an area located approximately between latitude 7.5o N to 11.5o N and longitude 7.5o E to 10.5o E, which corresponds to parts of the Benue trough (lower part of the Upper Benue trough, the entire middle Benue trough, and upper part of the Lower Benue trough), lower part of the Gongola and Yola Basins, the Precambrian Basement, the Jurassic Younger Granites and two prominent hot Springs, Wiki hot spring in Bauchi state (in the north-eastern part) and Akiri hot spring in Nasarawa state (in the south-western part) of central and north-eastern Nigeria. Radially power spectrum was applied to the aeromagnetic data of the study area divided into 48 square blocks and each block analysed using the spectral centroid method to obtain depth to the top, centroid and bottom of magnetic sources. The depth values were subsequently used to evaluate the Curie-point depth (CPD), geothermal gradient and near-surface heat flow in the study area. The values of the curie point depths (Zb), range from 7.6341 km to 34.5158 km, with a mean value of 14.7928km, geothermal gradient, range from 16.8039 0C km-1 to 75.97490C km-1, with mean value of 45.7021 0C km-1 and heat flow (q), range from 42.0097 mWm-2 to 189.9372mWm-2, with a mean value of 114.2554mWm-2. Which reveals that, there might probably be good sources for geothermal and thereby further recommended for detailed geothermal exploration.
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42

Elawadi, Eslam, Ahmed Nigm, Mamdouh El-Tarras, and Mahmoud Mira. "Analysis and Interpretation of Aeromagnetic Data for East of Nasser Lake Area, Aswan, Egypt." Journal of King Abdulaziz University-Earth Sciences 20, no. 1 (2009): 1–18. http://dx.doi.org/10.4197/ear.20-1.1.

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43

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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44

Pei, Yanliang, Baohua Liu, Qingfeng Hua, Chenguang Liu, and Yuqiang Ji. "An aeromagnetic survey system based on an unmanned autonomous helicopter: Development, experiment, and analysis." International Journal of Remote Sensing 38, no. 8-10 (January 13, 2017): 3068–83. http://dx.doi.org/10.1080/01431161.2016.1274448.

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45

Tsepav, M. T., and A. Mallam. "Spectral depth analysis of some segments of the Bida Basin, Nigeria, using aeromagnetic data." Journal of Applied Sciences and Environmental Management 21, no. 7 (February 16, 2018): 1330. http://dx.doi.org/10.4314/jasem.v21i7.19.

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46

Teknik, Vahid, and Abdolreza Ghods. "Depth of magnetic basement in Iran based on fractal spectral analysis of aeromagnetic data." Geophysical Journal International 209, no. 3 (April 1, 2017): 1878–91. http://dx.doi.org/10.1093/gji/ggx132.

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47

Saibi, H., E. Aboud, and J. Gottsmann. "Curie point depth from spectral analysis of aeromagnetic data for geothermal reconnaissance in Afghanistan." Journal of African Earth Sciences 111 (November 2015): 92–99. http://dx.doi.org/10.1016/j.jafrearsci.2015.07.019.

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48

Al-Ibiari, Mohammad G., Atef A. M. Ismail, Ahmed A. El-Khafeef, Alhussein A. Basheer, Ali M. M. El-laban, and Yara Tarek. "Analysis and interpretation of aeromagnetic data for Wadi Zeidun area, Central Eastern Desert, Egypt." Egyptian Journal of Petroleum 27, no. 3 (September 2018): 285–93. http://dx.doi.org/10.1016/j.ejpe.2017.04.002.

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49

Oladejo, O. P., T. A. Adagunodo, L. A. Sunmonu, M. A. Adabanija, M. Omeje, I. O. Babarimisa, and H. Bility. "Structural analysis of subsurface stability using aeromagnetic data: a case of Ibadan, southwestern Nigeria." Journal of Physics: Conference Series 1299 (August 2019): 012083. http://dx.doi.org/10.1088/1742-6596/1299/1/012083.

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50

Sun, Hailong, Yingxin Liu, Zheng Wei, Xu shi, Yahong Wang, and Lichun Lu. "Application of wavelet multi-scale analysis in the separation of aeromagnetic data potential field." IOP Conference Series: Earth and Environmental Science 660, no. 1 (February 1, 2021): 012131. http://dx.doi.org/10.1088/1755-1315/660/1/012131.

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