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GPS-ASSISTED FEATURE MATCHING IN AERIAL IMAGES WITH HIGHLY REPETITIVE PATTERNS

Abstract:

Matching aerial images might be challenging when they contain a large number of repetitive patterns. In this paper, we propose a feature-matching method that exploits the use of Affine Oriented FAST and Rotated BRIEF (AORB) as keypoint detector and feature descriptor and not accurate GPS (Global Position System) data to achieve a reliable feature matching of nadir UAV images that contain a large number of repetitive patterns. The proposed method assumes that the set of correct matches between two images only differ in a 2D translation. Experimental results show that the proposed method is able to correctly match pairs of very challenging images containing a large number of repetitive patterns.

Año de publicación:

2021

Keywords:

    Fuente:

    scopusscopus
    googlegoogle

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Visión por computadora
    • Ciencias de la computación

    Áreas temáticas de Dewey:

    • Métodos informáticos especiales
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 9: Industria, innovación e infraestructura
    • ODS 11: Ciudades y comunidades sostenibles
    • ODS 17: Alianzas para lograr los objetivos
    Procesado con IAProcesado con IA

    Contribuidores:

    Vlaminck M.Vlaminck M.
    Gonzalo LuzardoGonzalo Luzardo
    Luong H.Luong H.
    Lefkaditis D.Lefkaditis D.
    Philips W.Philips W.