Automatic classification of underground utilities in Urban Areas: A novel method combining ground penetrating radar and image processing

• Autorzy: Pasternak Klaudia , Fryśkowska-Skibniewska Anna

Identyfikatory

DOI

10.24425/ace.2024.149851

Warianty tytułu

PL

Automatyczna klasyfikacja podziemnych sieci uzbrojenia terenu na obszarach zurbanizowanych: nowatorska metoda klasyfikacji integrująca detekcję GPR i przetwarzanie obrazów

• Języki publikacji: EN

Abstrakty

EN

Precise determination of the location of underground utility networks is crucial in the field of civil engineering for: the planning and management of space with densely urbanized areas, infrastructure modernization, during construction and building renovations. In this way, damage to underground utilities can be avoided, damage risks to neighbouring buildings can be minimized, and human and material losses can be prevented. It is important to determine not only the location but also the type of underground utility network. Information about location and network types improves the process of land use design and supports the sustainable development of urban areas, especially in the context of construction works in build-up areas and areas planned for development. The authors were inspired to conduct research on this subject by the development of a methodology for classifying network types based on images obtained in a non-invasive way using a Leica DS2000 ground penetrating radar. The authors have proposed a new classification algorithm based on the geometrical properties of hyperboles that represent underground utility networks. Another aim of the research was to automate the classification process, which may support the user in selecting the type of network in images that are sometimes highly noise-laden. The developed algorithm shortens the time required for image interpretation and the selection of underground objects, which is particularly important for inexperienced operators. The classification results revealed that the average effectiveness of the classification of network types ranged from 42% to 70%, depending on the type of infrastructure.

PL

Precyzyjne określenie położenia podziemnych sieci uzbrojenia terenu jest kluczowe w dziedzinie inżynierii lądowej w zakresie prac modernizacyjnych infrastruktury, podczas budowy i remontów obiektów oraz przy planowaniu i zarządzaniu przestrzenią o gęstej urbanizacji. Wiele zadań administracji publicznej takich jak: pozyskiwanie gruntów, zarządzanie własnością i planowanie zależy od wiarygodności lokalizacji uzbrojenia podziemnego. Pozwala to uniknąć zniszczeń uzbrojenia podziemnego, zminimalizować ryzyko uszkodzeń sąsiednich budynków oraz zapobiec stratom ludzkim i materialnym. Ważne jest, aby określić nie tylko lokalizację, ale również rodzaj sieci uzbrojenia podziemnego. Informacja o lokalizacji i rodzajach sieci usprawnia proces projektowania zagospodarowania terenu i wspiera zrównoważony rozwój obszarów miejskich, zwłaszcza w kontekście prac budowlanych na terenach zabudowanych i planowanych do zabudowy w dziedzinie inżynierii lądowej. Motywacją autorów do podjęcia tematu badawczego było opracowanie metodyki klasyfikacji typów sieci na podstawie bezinwazyjnie pozyskanych obrazów georadarem Leica DS2000. Autorzy zaproponowali nowy algorytm klasyfikacji bazujący na cechach geometrycznych hiperbol reprezentujących sieci podziemne. Celem pracy była również automatyzacja procesu klasyfikacji, który może wspomóc użytkownika w wyborze typu sieci na czasami bardzo zaszumionych obrazach. Echogramy pozyskano w kilkunastu różnych lokalizacjach w Otwocku i na obszarze Wojskowej Akademii Technicznej w Warszawie. Opracowany algorytm pozwala na skrócenie czasu interpretacji obrazów i selekcji obiektów podziemnych, co jest szczególnie istotne dla niedoświadczonych operatorów. Wyniki klasyfikacji wykazały, że średnia skuteczność klasyfikacji typów sieci waha się w graniach od 42% do 70% w zależności od rodzaju infrastruktury podziemnej.

Słowa kluczowe

EN

classification; hyperbola; ground penetrating radar; land surveying; ring projection method; underground infrastructure; urban area

PL

georadar; klasyfikacja; sieć podziemna; uzbrojenie terenu; metoda projekcji pierścieniowej; pomiar geodezyjny; obszar zurbanizowany

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2024
• Tom: Vol. 70, nr 2
• Strony: 59--77
• Opis fizyczny: Bibliogr. 40 poz., il., tab.

Twórcy

autor

Pasternak Klaudia

• Military University of Technology (WAT), Faculty of Civil Engineering and Geodesy, Department of Imagery Intelligence, Warsaw, Poland

• https://orcid.org/0000-0001-5794-0560

autor

Fryśkowska-Skibniewska Anna

• Military University of Technology (WAT), Faculty of Civil Engineering and Geodesy, Department of Imagery Intelligence, Warsaw, Poland

• https://orcid.org/0000-0001-5449-8092

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