Mapping the spatio-temporal visibility of global navigation satellites in the urban road areas based on panoramic imagery

10Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The satellite visibility number of GNSS is an important indicator for evaluating its availability for positioning and navigation. In urban areas, urban canyons cause serious satellite signals block, resulting in positioning uncertainty. Many studies used 3D city models to evaluate the visible satellites in some areas at a certain time. Nevertheless, this kind of method is difficult to apply because 3D models are not widely available. This paper thus proposes an easy method to evaluate the visibility of satellites with widely available street view panoramic imagery and GNSS ephemeris. The proposed method utilizes the locations of street view panoramic imagery and the associated GNSS ephemeris to calculate the visible satellite number at different times. Hence, the visible satellite number at a specific time can be mapped. Moreover, the visibility of satellites can be predicted according to its orbit parameters. To evaluate the effectiveness of the proposed method, Wuhan and Shanghai were taken to map post-event, real-time and forecast GNSS visibility. The experiments demonstrated that the proposed method provides a light weighted and easy to use solution to map the spatio-temporal visibility of satellites in urban areas, which is an important reference for GNSS stations layout and positioning qualities evaluation.

References Powered by Scopus

THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS.

34796Citations
N/AReaders
Get full text

GNSS Position Integrity in Urban Environments: A Review of Literature

402Citations
N/AReaders
Get full text

Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the United States

333Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Modelling people's perceived scene complexity of real-world environments using street-view panoramas and open geodata

35Citations
N/AReaders
Get full text

FENet: feature enhancement network for land cover classification

32Citations
N/AReaders
Get full text

Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation

11Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kou, R., Yang, B., Dong, Z., Liang, F., & Yang, S. (2021). Mapping the spatio-temporal visibility of global navigation satellites in the urban road areas based on panoramic imagery. International Journal of Digital Earth, 14(7), 807–820. https://doi.org/10.1080/17538947.2021.1886357

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

75%

Researcher 1

25%

Readers' Discipline

Tooltip

Nursing and Health Professions 1

25%

Sports and Recreations 1

25%

Earth and Planetary Sciences 1

25%

Physics and Astronomy 1

25%

Save time finding and organizing research with Mendeley

Sign up for free