Parametric classification of ferromagnetic bottom objects based on an image analysis of magnetic anomaly map

• Autorzy: Bodus-Olkowska Izabela , Uriasz Janusz

Identyfikatory

DOI

10.36163/aon-2022-0003

• Języki publikacji: EN

Abstrakty

EN

The magnetic properties of ferromagnetic objects or naturally occurring minerals such as ores can be detected and mapped using magnetic field theory studies. Magnetometry water area survey are commonly used for the purposes of detecting the oil or gas pipelines, shipwrecks and their equipment (i.e. anchors or engines), wrecks of airplanes or cars, barrels, containers, unexploded ordnances and mines and other metal debris. It is possible by detecting the magnetic anomalies they induce. The following article is presenting the stages of geoclassification of the bottom objects based on the analysis of a magnetic anomaly map. In order to determine the conditions and parameters of geoclassification, a catalog of ferrous seabed bottom features was previously developed. The catalog is dedicated to inland water areas and contains the characteristics of features potentially possible to meet in these waters along with the parameters of the magnetic anomaly they induce: e.g. spatial dimensions (length, width, area, perimeter, value ratio) together with the value of the generated anomaly itself. The further part of the article presents the map segmentation process, carried out for the purpose of detecting the areas covered by an anomaly and then dimensioning it along with the classification procedure. The whole process is summarized with the verification of the correctness of the method's operation on modeled and real anomalies.

Słowa kluczowe

EN

magnetic anomaly; ferromagnetic objects; image analysis; classification

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2022
• Tom: No. 28
• Strony: 18--28
• Opis fizyczny: Bibliogr. 26 poz., rys., wykr.

Twórcy

autor

Bodus-Olkowska Izabela

• Maritime University of Szczecin Szczecin, Poland

autor

Uriasz Janusz

• Maritime University of Szczecin Szczecin, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).