Enhancement of the balanced total horizontal derivative of gravity data using the power law approach

References

• Al-Bahadily HA, Al-Rahim AM, Smith RS. 2023. Determination of reactivated regions and faults in the Iraq Southern Desert with the new edge technique, inverse tilt angle of second-gradients (ITAS). Acta Geophys. doi: 10.1007/s11600-023-01176-4.
   Web of Science ®Google Scholar
• Altınoğlu FF. 2023. Mapping of the structural lineaments and sedimentary basement relief using gravity data to guide mineral exploration in the Denizli Basin. Minerals. 13:1276.
   Web of Science ®Google Scholar
• Alvandi A, Ardestani VE. 2023. Edge detection of potential field anomalies using the Gompertz 265 function as a high-resolution edge enhancement filter. Bull Geophys Oceanogr. 64:279–300.
   Google Scholar
• Alvandi A, Su K, Ai H, Ardestani VE, Lyu C. 2023. Enhancement of potential field source boundaries using the hyperbolic domain (Gudermannian function). Minerals. 13(10):1312. doi: 10.3390/min13101312.
   Web of Science ®Google Scholar
• Aprina PU, Santoso D, Alawiyah S, Prasetyo N, Ibrahim K. 2024. Delineating geological structure utilizing integration of remote sensing and gravity data: a study from Halmahera, North Molucca, Indonesia. Vietnam J Earth Sci. doi: 10.15625/2615-9783/20010.
   Google Scholar
• Beiki M. 2010. Analytic signals of gravity gradient tensor and their application to estimate source location. Geophys. 75(6):I59–I74. doi: 10.1190/1.3493639.
   Web of Science ®Google Scholar
• Blakely RJ. 1995. Potential theory in gravity and magnetic applications. Cambridge: Cambridge University Press.
   Google Scholar
• Chen AG, Zhou TF, Liu DJ, Zhang S. 2017. Application of an enhanced theta-based filter for potential field edge detection: a case study of the Luzong ore district. Chin J Geophys. 60(2):203–218.
   Google Scholar
• Cordell L, Grauch VJS. 1985. Mapping basement magnetization zones from aeromagnetic data in the San Juan basin, New Mexico. In: Hinze, WJ (ed.). The utility of regional gravity and magnetic anomaly maps. Tulsa, OK: Society of Exploration Geophysicists (SEG). p. 181–197.
   Google Scholar
• Duong NA, Sagiya T, Kimata F, To TD, Hai VQ, Cong DC, Binh NX, Xuyen ND. 2013. Contemporary horizontal crustal movement estimation for northwestern Vietnam inferred from repeated GPS measurements. Earth Planet Sp. 65(12):1399–1410. doi: 10.5047/eps.2013.09.010.
   Web of Science ®Google Scholar
• Ekinci YL. 2017. A comparative study on computing horizontal derivatives of gravity data for geological contact mapping. Geo Bull Turkey. 60(2):209–222. doi: 10.25288/tjb.303025.
   Google Scholar
• Ekinci YL, Balkaya C, Göktürkler G, Ai H. 2023. 3-D gravity inversion for the basement relief reconstruction through modified success-history-based adaptive differential evolution. Geo J Int. 235(1):377–400. doi: 10.1093/gji/ggad222.
   Web of Science ®Google Scholar
• Ekinci YL, Büyüksaraç A, Bektaş Ö, Ertekin C. 2020. Geophysical investigation of Mount Nemrut Stratovolcano (Bitlis, Eastern Turkey) through aeromagnetic anomaly analyses. Pure Appl. Geophys. 177(7):3243–3264. doi: 10.1007/s00024-020-02432-0.
   Web of Science ®Google Scholar
• Ekinci YL, Ertekin C, Yiğitbaş E. 2013. On the effectiveness of directional derivative based filters on gravity anomalies for source edge approximation: synthetic simulations and a case study from the Aegean graben system (Western Anatolia, Turkey). J Geophys Eng. 10(3):035005. doi: 10.1088/1742-2132/10/3/035005.
   Web of Science ®Google Scholar
• Ekinci YL, Yiğitbaş E. 2015. Interpretation of gravity anomalies to delineate some structural features of Biga and Gelibolu peninsulas, and their surroundings (north-west Turkey). Geodinam Acta. 27(4):300–319. doi: 10.1080/09853111.2015.1046354.
   Web of Science ®Google Scholar
• Eldosouky AM, Pham LT, Duong VH, Ghomsi FEK, Henaish A. 2022a. Structural interpretation of potential field data using the enhancement techniques: a case study. Geocarto Int. 37(27):16900–16925. doi: 10.1080/10106049.2022.2120548.
   Web of Science ®Google Scholar
• Eldosouky AM, Pham LT, Henaish A. 2022b. High precision structural mapping using edge filters of potential field and remote sensing data: a case study from Wadi Umm Ghalqa area, South Eastern Desert, Egypt. Egypt J Remote Sens Space Sci. 25(2):501–513. doi: 10.1016/j.ejrs.2022.03.001.
   Web of Science ®Google Scholar
• Evjen HM. 1936. The place of the vertical gradient in gravitational interpretations. Geophysi. 1(1):127–136. doi: 10.1190/1.1437067.
   Google Scholar
• Ferreira FJF, de Souza J, de B. e S. Bongiolo A, de Castro LG. 2013. Enhancement of the total horizontal gradient of magnetic anomalies using the tilt angle. Geophys. 78(3):J33–J41. doi: 10.1190/geo2011-0441.1.
   Web of Science ®Google Scholar
• Ghiasi SM, Hosseini SH, Afshar A, Abedi M. 2023. A novel magnetic interpretational perspective on Charmaleh iron deposit through improved edge detection techniques and 3D inversion approaches. Nat Resour Res. 32(1):147–170. doi: 10.1007/s11053-022-10135-7.
   Web of Science ®Google Scholar
• Ghomsi FEK, Pham LT, Tenzer R, Esteban FD, Vu TV, Kamguia J. 2022. Mapping of fracture zones and structural lineaments of the Gulf of Guinea passive margins using marine gravity data from CryoSat-2 and Jason-1 satellites. Geocarto Int. 37(25):10819–10842. doi: 10.1080/10106049.2022.2040602.
   Web of Science ®Google Scholar
• Ibraheem IM, Tezkan B, Ghazala H, Othman AA. 2023. A new edge enhancement filter for the interpretation of magnetic field data. Pure and Appl Geophys. 180:2223–2240. doi: 10.1007/s00024-023-03249-3.
   Google Scholar
• Kafadar O. 2022. Applications of the Kuwahara and Gaussian filters on potential field data. J Appl Geophys. 198:104583. doi: 10.1016/j.jappgeo.2022.104583.
   Web of Science ®Google Scholar
• Kamto PG, Oksum E, Yap L, Kande LH, Kamguia J. 2023b. High precision structural mapping using advanced gravity processing methods: a case study from the North region of Cameroon. Acta Geophys. doi: 10.1007/s11600-023-01211-4.
   Web of Science ®Google Scholar
• Kamto PG, Oksu E, Pham LT, Kamguia J. 2023a. Contribution of advanced edge detection filters for the structural mapping of the Douala Sedimentary Basin along the Gulf of Guinea. Vietnam J Earth Sci. 45(3):287–302.
   Google Scholar
• Koszowska E, Wolska A, Zuchiewicz W, Cuong NQ, Pécskay Z. 2007. Crustal contamination of Late Neogene basalts in the Dien Bien Phu Basin, NW Vietnam: some insights from petrological and geochronological studies. J Asian Earth Sci. 29(1):1–17. doi: 10.1016/j.jseaes.2005.12.003.
   Web of Science ®Google Scholar
• Li L. 2013. Improved edge detection tools in the interpretation of potential field data. Explor Geophys. 44(2):128–132. doi: 10.1071/EG12058.
   Web of Science ®Google Scholar
• Li G, Liu S, Shi K, Hu X. 2023. Normalized edge detectors using full gradient tensors of potential field. Pure Appl Geophys. 180(6):2327–2349. doi: 10.1007/s00024-023-03274-2.
   Web of Science ®Google Scholar
• Ma G. 2013. Edge detection of potential field data using improved local phase filter. Explor Geophys. 44(1):36–41. doi: 10.1071/EG12022.
   Web of Science ®Google Scholar
• Ma G, Huang D, Liu C. 2016. Step-edge detection filters for the interpretation of potential field data. Pure Appl Geophys. 173(3):795–803. doi: 10.1007/s00024-015-1053-6.
   Web of Science ®Google Scholar
• Ma G, Liu C, Huang D. 2015. The removal of additional edges in the edge detection of potential field data. J Appl Geophys. 114:168–173. doi: 10.1016/j.jappgeo.2015.01.007.
   Web of Science ®Google Scholar
• Miller HG, Singh V. 1994. Potential field tilt–a new concept for location of potential field sources. J Appl Geophys. 32(2-3):213–217. doi: 10.1016/0926-9851(94)90022-1.
   Web of Science ®Google Scholar
• Narayan S, Kumar U, Pal SK, Sahoo SD. 2021. New insights into the structural and tectonic settings of the Bay of Bengal using high-resolution earth gravity model data. Acta Geophys. 69(6):2011–2033. doi: 10.1007/s11600-021-00657-8.
   Web of Science ®Google Scholar
• Narayan S, Sahoo SD, Pal SK, Kumar U, Pathak VK, Majumdar TJ, Chouhan A. 2017. Delineation of structural features over a part of the Bay of Bengal using total and balanced horizontal derivative techniques. Geocarto Int. 32(4):351–366. doi: 10.1080/10106049.2016.1140823.
   Web of Science ®Google Scholar
• Nasuti Y, Nasuti A. 2018. NTilt as an improved enhanced tilt derivative filter for edge detection of potential field anomalies. Geophys J Int. 214(1):36–45. doi: 10.1093/gji/ggy117.
   Web of Science ®Google Scholar
• Nasuti Y, Nasuti A, Moghadas D. 2019. STDR: a novel approach for enhancing and edge detection of potential field data. Pure Appl Geophys. 176(2):827–841. doi: 10.1007/s00024-018-2016-5.
   Web of Science ®Google Scholar
• Oksum E, Dolmaz MN, Pham LT. 2019. Inverting gravity anomalies over the Burdur sedimentary basin, SW Turkey. Acta Geod Geophys. 54(4):445–460. doi: 10.1007/s40328-019-00273-5.
   Web of Science ®Google Scholar
• Oksum E, Le DV, Vu MD, Nguyen THT, Pham LT. 2021. A novel approach based on the fast sigmoid function for interpretation of potential field data. Bull Geophys Oceanogr. 62(3):543–556.
   Google Scholar
• Oliveira SP, Pham LT. 2022. A stable finite difference method based on upward continuation to evaluate vertical derivatives of potential field data. Pure Appl Geophys. 179(12):4555–4566. doi: 10.1007/s00024-022-03164-z.
   Google Scholar
• Oruç B. 2011. Edge detection and depth estimation using a tilt angle map from gravity gradient data of the Kozaklı-Central Anatolia Region, Turkey. Pure Appl Geophys. 168(10):1769–1780. doi: 10.1007/s00024-010-0211-0.
   Web of Science ®Google Scholar
• Pham LT. 2020. A comparative study on different methods for calculating gravity effect of an uneven layer: application to computation of Bouguer gravity anomaly in the East Vietnam Sea and adjacent areas. VNU J Sci Math Phys. 36(3):106–114.
   Google Scholar
• Pham LT. 2023. A novel approach for enhancing potential fields: application to aeromagnetic data of the Tuangiao, Vietnam. Eur Phys J Plus. 138(12):1134. doi: 10.1140/epjp/s13360-023-04760-1.
   Web of Science ®Google Scholar
• Pham LT, Oksum E, Le DV, Ferreira FJF, Le ST. 2022. Edge detection of potential field sources using the softsign function. Geocarto Int. 37(14):4255–4268. doi: 10.1080/10106049.2021.1882007.
   Web of Science ®Google Scholar
• Pham LT, Oksum E, Nguyen DV, Eldosouky AM. 2021a. On the performance of phase-based filters for enhancing lateral boundaries of magnetic and gravity sources: a case study of the Seattle Uplift. Arabian J Geo. 14:129.
   Web of Science ®Google Scholar
• Pham LT, Prasad KND. 2023. Analysis of gravity data for extracting structural features of the northern region of the Central Indian Ridge. Vietnam J Earth Sci. 45(2):147–163.
   Google Scholar
• Pham LT, Prasad KND. 2024. Gravity patterns and crustal architecture of the South-Central Indian Ridge at 22°–17°S: evidence for the asymmetric ridge accretion. J Asian Earth Sci. 260:105966. doi: 10.1016/j.jseaes.2023.105966.
   Web of Science ®Google Scholar
• Pham LT, Van Duong H, Kieu Duy T, Oliveira SP, Giau LM, Thanh BM, Oksum E. 2023. An effective edge detection technique for subsurface structural mapping from potential field data. Acta Geophys. doi: 10.1007/s11600-023-01185-3.
   Web of Science ®Google Scholar
• Pham LT, Vu TV, Le-Thi S, Trinh PT. 2020. Enhancement of potential field source boundaries using an improved logistic filter. Pure Appl Geophys. 177(11):5237–5249. doi: 10.1007/s00024-020-02542-9.
   Web of Science ®Google Scholar
• Pham LT, Vu MD, Thi Le S. 2021b. Performance evaluation of amplitude- and phase-based methods for estimating edges of potential field sources. Iran J Sci Technol Trans Sci. 45(4):1327–1339. doi: 10.1007/s40995-021-01122-3.
   Web of Science ®Google Scholar
• Prasad KND, Pham LT, Singh AP. 2022a. A novel filter “ImpTAHG” for edge detection and a case study from Cambay Rift Basin, India. Pure Appl Geophys. 179(6-7):2351–2364. doi: 10.1007/s00024-022-03059-z.
   Web of Science ®Google Scholar
• Prasad KND, Pham LT, Singh AP. 2022b. Structural mapping of potential field sources using BHG filter. Geocarto Int. 37(26):11253–11280. doi: 10.1080/10106049.2022.2048903.
   Web of Science ®Google Scholar
• Prasad KND, Singh AP, Tiwari VM. 2018. 3D upper crustal density structure of the Deccan Syneclise, Central India. Geophys Pros. 66(8):1625–1640. doi: 10.1111/1365-2478.12675.
   Web of Science ®Google Scholar
• Reis LKOD, Vidotti RM, Cordeiro P, Oliveira LGD. 2020. The western São Francisco pericraton interpreted from crustal magnetic and gravity sources. J South American Earth Sci. 103:102716. doi: 10.1016/j.jsames.2020.102716.
   Web of Science ®Google Scholar
• Roest WR, Verhoef J, Pilkington M. 1992. Magnetic interpretation using the 3-D analytic signal. Geophys. 57(1):116–125. doi: 10.1190/1.1443174.
   Web of Science ®Google Scholar
• Safani J, Ibrahim K, Deni W, Rubaiyn A, Firdaus F, Harisma H. 2023. Interpreting structural configuration of the Sengkang Basin of Indonesia using edge detection and 3-D Euler deconvolution to satellite gravity data. Turkish J Earth Sci. 32(7):5.
   Web of Science ®Google Scholar
• Sahoo S, Narayan S, Pal SK. 2022a. Fractal analysis of lineaments using CryoSat-2 and Jason-1 satellite derived gravity data: evidence of a uniform tectonic activity over the middle part of the Central Indian Ridge. Phys Chem Earth. 128:103237. doi: 10.1016/j.pce.2022.103237.
   Google Scholar
• Sahoo S, Narayan S, Pal SK. 2022b. Appraisal of gravity-based lineaments around Central Indian Ridge (CIR) in different geological periods: evidence of frequent ridge jumps in the southern block of CIR. J Asian Earth Sci. 239:105393. doi: 10.1016/j.jseaes.2022.105393.
   Web of Science ®Google Scholar
• Sahoo SD, Pal SK. 2019. Mapping of structural lineaments and fracture zones around the Central Indian ridge (10°S–21°S) using EIGEN 6C4 Bouguer Gravity Data. J Geol Soc India. 94(4):359–366. doi: 10.1007/s12594-019-1323-5.
   Web of Science ®Google Scholar
• Saibi H, Aboud E, Ehara S. 2012b. Analysis and Interpretation of gravity data from the Aluto-Langano geothermal field of Ethiopia. Acta Geophys. 60(2):318–336. doi: 10.2478/s11600-011-0061-x.
   Web of Science ®Google Scholar
• Saibi H, Aboud E, Setyawan A, Ehara S, Nishijima J. 2012a. Gravity data analysis of Ungaran volcano, Indonesia. Arab J Geosci. 5(5):1047–1054. doi: 10.1007/s12517-011-0303-x.
   Web of Science ®Google Scholar
• Saibi H, Amir G, Mohamed FS. 2019. Subsurface structural mapping using gravity data of Al-Ain region, Abu Dhabi Emirate, United Arab Emirates. Geophys J Int. 216(2):1201–1213. doi: 10.1093/gji/ggy489.
   Web of Science ®Google Scholar
• Sandwell DT, Müller RD, Smith WHF, Garcia E, Francis R. 2014. New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure. Science. 346(6205):65–67. doi: 10.1126/science.1258213.
   PubMed Web of Science ®Google Scholar
• Tran TA, Tran-Trong H, Pham-Ngoc C, Shellnut JG, Pham TT, Izokh AE, Pham PLT, Duangpaseuth S, Soulintone O. 2022. Petrology of the Permian-Triassic granitoids in Northwest Vietnam and their relation to the amalgamation of the Indochina and Sino-Vietnam composite terranes. Vietnam J Earth Sci. 44:343–368.
   Google Scholar
• Verduzco B, Fairhead JD, Green CM, MacKenzie C. 2004. New insights into magnetic derivatives for structural mapping. The Leading Edge. 23(2):116–119. doi: 10.1190/1.1651454.
   Google Scholar
• Wahab MF, Gritti F, O’Haver TC, Hellinghausen G, Armstrong DW. 2018. Power law approach as a convenient protocol for improving peak shapes and recovering areas from partially resolved peaks. Chromatographia. 82(1):211–220. doi: 10.1007/s10337-018-3607-0.
   Web of Science ®Google Scholar
• Weihermann JD, Ferreira FJF, Oliveira SP, Cury LF, de Souza J. 2018. Magnetic interpretation of the Paranaguá Terrane, southern Brazil by signum transform. J Appl Geophys. 154:116–127. doi: 10.1016/j.jappgeo.2018.05.001.
   Web of Science ®Google Scholar
• Wijns C, Perez C, Kowalczyk P. 2005. Theta map: edge detection in magnetic data. Geophys. 70:39–43.
   Web of Science ®Google Scholar
• Yuan Y, Gao JY, Chen LN. 2016. Advantages of horizontal directional Theta method to detect the edges of full tensor gravity gradient data. J Appl Geophys. 130:53–61. doi: 10.1016/j.jappgeo.2016.04.009.
   Web of Science ®Google Scholar
• Yuan Y, Yu Q. 2014. Edge detection in potential-field gradient tensor data by use of improved horizontal analytical signal methods. Pure Appl Geophys. 172(2):461–472. doi: 10.1007/s00024-014-0880-1.
   Web of Science ®Google Scholar
• Zanella RR, Trzaskos B, de Castro LG, Ferreira FJF. 2020. Geophysical-structural framework of the Campo Alegre basin (Santa Catarina State, southern Brazil). J Appl Geophys. 183:104189. doi: 10.1016/j.jappgeo.2020.104189.
   Web of Science ®Google Scholar
• Zareie V, Moghadam RH. 2019. The application of theta method to potential field gradient tensor data for edge detection of complex geological structures. Pure Appl Geophys. 176(11):4983–5001. doi: 10.1007/s00024-019-02226-z.
   Web of Science ®Google Scholar
• Zhang X, Yu P, Tang R, Xiang Y, Zhao C-J. 2015. Edge enhancement of potential field data using an enhanced tilt angle. Exp Geophys. 46(3):276–283. doi: 10.1071/EG13104.
   Web of Science ®Google Scholar
• Zuchiewicz W, Cuong NQ, Bluszcz A, Michalik M. 2004. Quaternary sediments in the Dien Bien Phu fault zone, NW Vietnam: a record of young tectonic processes in the light of OSL-SAR dating results. Geomorphology. 60(3–4):269–302. doi: 10.1016/j.geomorph.2003.08.004.
   Web of Science ®Google Scholar