Prediction of free air anomaly obtained by geophysical multivariate data in Amazonia: An approach to missing data imputation with Self-Organizing Maps

PreviousNext No Access15th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 31 July-3 August 2017Prediction of free air anomaly obtained by geophysical multivariate data in Amazonia: An approach to missing data imputation with Self-Organizing MapsAuthors: Bruno Monserrat PerilloCleyton de Carvalho CarneiroAna Cristina de MatosDenizar BlitzkowStephen FraserBruno Monserrat PerilloSearch for more papers by this author, Cleyton de Carvalho CarneiroSearch for more papers by this author, Ana Cristina de MatosSearch for more papers by this author, Denizar BlitzkowSearch for more papers by this author, and Stephen FraserSearch for more papers by this authorhttps://doi.org/10.1190/sbgf2017-073 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract This work deals with the creation of synthetic database values on multivariate analysis of Self-Organizing Maps (SOM). Terrestrial and airborne gravimetric data were used to compare synthetic with real values. Gap areas were generated. As a result, three analysis were developed, with different map sizes, which showed a high correlation between original and synthetic data produced from the Best Matching Units (BMUs). The synthetic values of anomaly terrestrial Free Air showed a correlation of 84%, while the terrestrial Bouguer anomaly was 87% correlated to the originals. Suggesting a high correlation between the data produced and the data generated. The variation in the map size did not influence abruptly, but we suggest that other analysis be done to explore these dimensions. Keywords: mapping, data reconstructionPermalink: https://doi.org/10.1190/sbgf2017-073FiguresReferencesRelatedDetails 15th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 31 July-3 August 2017ISSN (online):2159-6832Copyright: 2017 Pages: 1876 publication data© 2017 Published in electronic format with permission by the Brazilian Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Aug 2017 CITATION INFORMATION Bruno Monserrat Perillo, Cleyton de Carvalho Carneiro, Ana Cristina de Matos, Denizar Blitzkow, and Stephen Fraser, (2017), "Prediction of free air anomaly obtained by geophysical multivariate data in Amazonia: An approach to missing data imputation with Self-Organizing Maps," SEG Global Meeting Abstracts : 374-379. https://doi.org/10.1190/sbgf2017-073 Plain-Language Summary Keywordsmappingdata reconstructionPDF DownloadLoading ...