This paper is focused on real time detection of satellite reception state. In constrained environment, such as urban areas, GNSS signals can be received directly, reflected or blocked by obstacles (building, vegetation, etc) and can lead to an error or a lack of positioning. This paper proposes to characterize the GNSS signals reception environment using image analysis. The proposed approach consists of detecting the visible sky part in the images thanks to a k-means based classification algorithm applied in segmented/simplified images. In this paper, two images segmentation/simplification techniques are proposed and compared in terms of robustness, reliability and processing rate. The first one is based on a combination of color and texture information. The second technique uses a geodesic reconstruction by dilatation with an optimal contrast parameter. The main aim of this work consists of determining how many satellites are positioning in the area of visible sky and have a direct reception state. Experimental classification and positioning results, using real data and an evaluation methodology are presented to demonstrate the effectiveness and the reliability of the proposed approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image analysis based real time detection of satellites reception state


    Contributors:
    Attia, D (author) / Meurie, C (author) / Ruichek, Y (author) / Marais, J (author) / Flancquart, A (author)


    Publication date :

    2010-09-01


    Size :

    1986365 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Reception of LoRa Signals From LEO Satellites

    Colavolpe, Giulio / Foggi, Tommaso / Ricciulli, Michelangelo et al. | IEEE | 2019


    Real time quick-look analysis for the ogo satellites

    COYLE, R. / STEWART, J. | AIAA | 1964


    Data reception of small satellites in a multimission scenario

    Schwarz, J. / Maass, H. / Bettac, H.-D. et al. | British Library Conference Proceedings | 2000


    GEZGIN:A Case Study of a Real-Time Image Processing Subsystem for Micro-Satellites

    Ismailoglu, N. / Benderli, O. / Korkmaz, I. et al. | British Library Conference Proceedings | 2003


    Identification, Location, and Reception of Low Earth Orbit Satellites (LEO) Signals

    Oros, Jose Eduardo / Trejo, Javier / Salcedo, Ante | IEEE | 2015