DocumentCode :
2902185
Title :
Image analysis based real time detection of satellites reception state
Author :
Attia, D. ; Meurie, C. ; Ruichek, Y. ; Marais, J. ; Flancquart, A.
Author_Institution :
Syst. & Transp. Lab., Univ. of Technol. of Belfort-Montbeliard, Belfort, France
fYear :
2010
fDate :
19-22 Sept. 2010
Firstpage :
1651
Lastpage :
1656
Abstract :
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.
Keywords :
image classification; image colour analysis; image reconstruction; image segmentation; image texture; GNSS signals; color information; geodesic reconstruction; image analysis; image segmentation; image simplification; k-means based classification algorithm; optimal contrast parameter; real time detection; satellites reception state; texture information; urban areas; Image analysis; Image color analysis; Image reconstruction; Image segmentation; Pixel; Real time systems; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
Conference_Location :
Funchal
ISSN :
2153-0009
Print_ISBN :
978-1-4244-7657-2
Type :
conf
DOI :
10.1109/ITSC.2010.5625143
Filename :
5625143
Link To Document :
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