{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:45:20Z","timestamp":1740149120417,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T00:00:00Z","timestamp":1666396800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T00:00:00Z","timestamp":1666396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s12145-022-00870-z","type":"journal-article","created":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T06:03:10Z","timestamp":1666418590000},"page":"2665-2671","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling of structural features from aeromagnetic maps using an improved deep learning technique"],"prefix":"10.1007","volume":"15","author":[{"given":"Oluwaseun Samuel","family":"Ogungbemi","sequence":"first","affiliation":[]},{"given":"Kazeem","family":"Oyebode","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6447-5716","authenticated-orcid":false,"given":"Ganiyu Olabode","family":"Badmus","sequence":"additional","affiliation":[]},{"given":"Adebayo Tajudeen","family":"Ogunyemi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,22]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Bencharef MH, Eldosouky AM, Zamzam S, Djamel B (2022) Polymetallic mineralization prospectivity modelling using multi-geospatial data in logistic regression: The Diapiric Zone, Northeastern Algeria. Geocarto Int 1(36). https:\/\/doi.org\/10.1080\/10106049.2022.2097481","key":"870_CR1","DOI":"10.1080\/10106049.2022.2097481"},{"unstructured":"Boykov Y, Marie-Pierre J (2001) Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images. In: International Conference on Computer Vision, Vancouver, Canada","key":"870_CR2"},{"issue":"3","key":"870_CR3","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"R Carsten","year":"2004","unstructured":"Carsten R, Vladimir K, Andrew B (2004) Grabcut: interactive foreground extraction using iterated graph cuts. ACM Trans Graphics 23(3):309\u2013314","journal-title":"ACM Trans Graphics"},{"issue":"1","key":"870_CR4","doi-asserted-by":"publisher","first-page":"104","DOI":"10.16468\/j.cnki.issn1004-0366.2014.01.010","volume":"26","author":"GH Chen","year":"2014","unstructured":"Chen GH, Lu SF, Tian SS (2014) Application of RBF neural network to logging evaluation of clay shale organic heterogeneity. J Gansu Sci 26(1):104\u2013108.\u00a0https:\/\/doi.org\/10.16468\/j.cnki.issn1004-0366.2014.01.010","journal-title":"J Gansu Sci"},{"key":"870_CR6","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.isprsjprs.2020.01.013","volume":"162","author":"FI Diakogiannis","year":"2020","unstructured":"Diakogiannis FI, Waldner F, Caccetta P, Wu C (2020) ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data. ISPRS J Photogrammetry Remote Sens 162:94\u2013114","journal-title":"ISPRS J Photogrammetry Remote Sens"},{"issue":"2","key":"870_CR7","first-page":"187","volume":"17","author":"BL Dickson","year":"1997","unstructured":"Dickson BL, Scott KM (1997) Interpretation of aerial gamma-ray surveys-adding the geochemical factors. J Aust Geol Geophys 17(2):187\u2013200","journal-title":"J Aust Geol Geophys"},{"issue":"2","key":"870_CR8","doi-asserted-by":"publisher","first-page":"146","DOI":"10.3390\/min12020146","volume":"12","author":"AM EkwokSE,AkpanAE,AchaduOM,ThompsonCE","year":"2022","unstructured":"Ekwok SE, Akpan AE, Achadu OM, Thompson CE, Eldosouky AM, Abdelrahman K, Andr\u00e1\u0161 P (2022) Towards understanding the source of brine mineralization in Southeast Nigeria: evidence from high-resolution airborne magnetic and gravity data. Minerals 12(2):146.\u00a0https:\/\/doi.org\/10.3390\/min12020146","journal-title":"Minerals"},{"doi-asserted-by":"publisher","unstructured":"Eldosouky AM, El-Qassas RAY, Pham LT, Abdelrahman K, Alhumimidi MS, ElBahrawy A, Mickus K, Sehsah H (2022a) Mapping Main Structures and Related Mineralization of the Arabian Shield (Saudi Arabia) Using Sharp Edge Detector of Transformed Gravity Data. Minerals 12(1). https:\/\/doi.org\/10.3390\/min12010071","key":"870_CR9","DOI":"10.3390\/min12010071"},{"doi-asserted-by":"publisher","unstructured":"Eldosouky AM, El-Qassas RAY, Pour AB, Mohamed H, Sekandari M (2021) Integration of ASTER satellite imagery and 3D inversion of aeromagnetic data for deep mineral exploration. Adv Space Res. 68(9):3641\u20133662. https:\/\/doi.org\/10.1016\/j.asr.2021.07.016","key":"870_CR10","DOI":"10.1016\/j.asr.2021.07.016"},{"doi-asserted-by":"publisher","unstructured":"Eldosouky AM, Ekwok SE, Akpan AE, Achadu OM, Pham LT, Abdelrahman K, G\u00f3mez-Ortiz D, Alarifi SS (2022b) Delineation of structural lineaments of Southeast Nigeria using high resolution aeromagnetic data. Open Geosci 1(14):331\u2013340. https:\/\/doi.org\/10.1515\/geo-2022-0360","key":"870_CR11","DOI":"10.1515\/geo-2022-0360"},{"issue":"1","key":"870_CR12","doi-asserted-by":"publisher","first-page":"293","DOI":"10.6038\/cjg2018L0193","volume":"61","author":"C Fu","year":"2018","unstructured":"Fu C, Lin NT, Zhang D (2018) Prediction of reservoirs using multi-component seismic data and the deep learning method. Chin J Geophys 61(1):293\u2013303. https:\/\/doi.org\/10.6038\/cjg2018L0193","journal-title":"Chin J Geophys"},{"key":"870_CR13","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.gexplo.2015.06.001","volume":"157","author":"AM Gonbadi","year":"2015","unstructured":"Gonbadi AM, Tabatabaei SH, Carranza EJM (2015) Supervised geochemical anomaly detection by pattern recognition. J Geochem Explor 157:81\u201391","journal-title":"J Geochem Explor"},{"key":"870_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jappgeo.2016.07.016","volume":"133","author":"Y Ji","year":"2016","unstructured":"Ji Y, Yuan S, Wang S (2016) Frequency-domain sparse Bayesian learning inversion of AVA data for elastic parameters reflectivities. J ApplGeophys 133:1\u20138. https:\/\/doi.org\/10.1016\/j.jappgeo.2016.07.016","journal-title":"J ApplGeophys"},{"unstructured":"Milligan PR, Gunn PJ (1997) Enhancement and presentation of airborne geophysical. AGSO J Aust Geol Geophys 17: 64\u201374","key":"870_CR15"},{"issue":"5","key":"870_CR16","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.6038\/cjg20150528","volume":"58","author":"D Mou","year":"2015","unstructured":"Mou D, Wang ZW, Huang YL (2015) Lithological identification of volcanic rocks from SVM well logging data: case study in the eastern depression of Liaohe Basin. Chin J Geophys 58(5):1785\u20131793. https:\/\/doi.org\/10.6038\/cjg20150528","journal-title":"Chin J Geophys"},{"issue":"4","key":"870_CR18","doi-asserted-by":"publisher","first-page":"SH75","DOI":"10.1190\/INT-2021-0012.1","volume":"9","author":"OS Ogungbemi","year":"2021","unstructured":"Ogungbemi OS, Amigun JO, Olayanju GM, Badmus GO (2021) Airborne and ground geophysical evaluation of potential mineralized zone in parts of Ilesha schist belt, southwestern Nigeria. Interpretation 9(4):SH75\u201385","journal-title":"Interpretation"},{"issue":"2","key":"870_CR19","first-page":"114","volume":"8","author":"OA Okunlola","year":"2011","unstructured":"Okunlola OA, Akinola OO (2011) Physiochemical characteristics and industrial potentials of in-situ clay occurrences around Ijero-Ekiti, Southwestern Nigeria. J Fac Sci Univ Ib 8(2):114\u2013127","journal-title":"J Fac Sci Univ Ib"},{"key":"870_CR20","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.jappgeo.2011.05.007","volume":"74","author":"B Oruc","year":"2011","unstructured":"Oruc B, Selim H (2011) Interpretation of magnetic data in the Sinop area of Mid Black Sea, Turkey, using tilt derivative, Euler deconvolution, and discrete wavelet transform. J Appl Geophys 74:194\u2013204","journal-title":"J Appl Geophys"},{"issue":"2","key":"870_CR21","first-page":"331","volume":"18","author":"TO Oyeniyi","year":"2016","unstructured":"Oyeniyi TO, Salami AA, Ojo SB (2016) Magnetic surveying as an aid to geological mapping: a case study from Obafemi Awolowo University Campus in Ile-Ife, Southwest Nigeria. Ife J Sci 18(2):331\u2013343","journal-title":"Ife J Sci"},{"doi-asserted-by":"publisher","unstructured":"Pham LH, Oliveira SP, Eldosouky AM, Abdelrahman K, Fnais MS, Xayavong V, Le Andr\u00e1\u0161 PDV (2022) Determination of structural lineaments of Northeastern Laos using the LTHG and EHGA methods. \tJ King Saud Univ Sci 34(3):101825. https:\/\/doi.org\/10.1016\/j.jksus.2022.101825","key":"870_CR22","DOI":"10.1016\/j.jksus.2022.101825"},{"doi-asserted-by":"publisher","unstructured":"Pham LT, Eldosouky AM, Melouah O, Abdelrahman k, Alzahrani H, Oliveira SP, Andr\u00e1\u0161 P (2021) Mapping subsurface structural lineaments using the edge filters of gravity data. J King Saud Univ - Sci 33(8):101594. https:\/\/doi.org\/10.1016\/j.jksus.2021.101594","key":"870_CR23","DOI":"10.1016\/j.jksus.2021.101594"},{"doi-asserted-by":"publisher","unstructured":"Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp. 839-846. https:\/\/doi.org\/10.1109\/ICCV.1998.710815","key":"870_CR230","DOI":"10.1109\/ICCV.1998.710815"},{"issue":"1","key":"870_CR24","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s11053-006-9013-6","volume":"15","author":"NKC Twarakavi","year":"2006","unstructured":"Twarakavi NKC, Misra D, Bandopadhyay S (2006) Prediction of arsenic in bedrock derived stream sediments at a Gold Mine Site Under Conditions of Sparse Data. Nat Resour Res 15(1):15\u201326","journal-title":"Nat Resour Res"},{"unstructured":"Xiao DS, Lu SF, Chen GH (2014) Mineralogy inversion based on genetic algorithm for shale gas formation. China Geoscience Conference, pp 2497\u20132499","key":"870_CR25"},{"issue":"2","key":"870_CR26","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1109\/LGRS.2017.2785834","volume":"15","author":"S Yuan","year":"2018","unstructured":"Yuan S, Liu J, Wang S (2018) Seismic waveform classification and first-break picking using convolution neural networks. IEEE Geosci Remote Sens Lett 15(2):272\u2013276. https:\/\/doi.org\/10.1109\/LGRS.2017.2785834","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"2","key":"870_CR27","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/s11770-009-0018-x","volume":"6","author":"S Yuan","year":"2009","unstructured":"Yuan S, Wang S, Nan T (2009) Swarm intelligence optimization and its application in geophysical data inversion. Appl Geophys 6(2):166\u2013174. https:\/\/doi.org\/10.1007\/s11770-009-0018-x","journal-title":"ApplGeophys"},{"issue":"2","key":"870_CR28","doi-asserted-by":"publisher","first-page":"428","DOI":"10.3969\/j.issn.0001-5733.2011.02.020","volume":"54","author":"EH Zhang","year":"2011","unstructured":"Zhang EH, Guan XW, Zhang YG (2011) Support vector machine in volcanic reservoir forecast: east slope in Xujiaweizi depression. Chin J Geophys 54(2):428\u2013432. https:\/\/doi.org\/10.3969\/j.issn.0001-5733.2011.02.020","journal-title":"Chin J Geophys"},{"issue":"5","key":"870_CR29","first-page":"726","volume":"40","author":"ZS Zhang","year":"1997","unstructured":"Zhang ZS, Zhang CM, Wang GG (1997) An interactive intelligent technology of fine structural interpretation of Diplog. Chin J Geophys 40(5):726\u2013732","journal-title":"Chin J Geophys"},{"issue":"5","key":"870_CR30","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1109\/LGRS.2018.2802944","volume":"15","author":"Z Zhang","year":"2018","unstructured":"Zhang Z, Liu Q, Wang Y (2018) Road extraction by deep residual U-Net. IEEE Geosci Remote Sens Lett 15(5):749\u2013753","journal-title":"IEEE Geosci Remote Sens Lett"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-022-00870-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-022-00870-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-022-00870-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T05:07:46Z","timestamp":1668575266000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-022-00870-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,22]]},"references-count":29,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["870"],"URL":"https:\/\/doi.org\/10.1007\/s12145-022-00870-z","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"type":"print","value":"1865-0473"},{"type":"electronic","value":"1865-0481"}],"subject":[],"published":{"date-parts":[[2022,10,22]]},"assertion":[{"value":"15 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 October 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"We the above-listed authors declare that there is no conflict of interest on this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}}]}}