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Image-based approach for satellite visibility analysis in critical environments

volume 51pages113123(2016)

Abstract

The global navigation satellite system (GNSS) positioning solution relies greatly on the satellite configuration visible at a specific receiver location. As a consequence, satellite visibility analysis considering the surrounding terrain obstruction, becomes a key step when the GNSS positioning quality is to be evaluated. Current satellite visibility analysis requires high-resolution digital surface model (DSM) data and is thus a pricey and time-consuming task. In this study, an image-based approach for the satellite visibility analysis is proposed. Terrain obstructions are first identified from photo images, using image-processing techniques. The maximal obstruction angle at each direction is then determined, based on photogrammetric principles. According to the results from a case study, this novel approach provides a satellite visibility analysis solution comparable to that of the current DSM approaches, but with significantly improved computational efficiency. Consequently, a highly efficient and low-cost satellite visibility analysis becomes possible when the proposed approach is implemented.

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Acknowledgments

The authors thank the anonymous reviewers for their constructive comments which significantly improved the quality of the original manuscript. The funding support from the Ministry of Science and Technology in Taiwan (under contract No. 103-2221-E-002-128-MY2) is gratefully acknowledged.

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Correspondence to Jen-Yu Han.

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Han, J., Juan, T. Image-based approach for satellite visibility analysis in critical environments. Acta Geod Geophys 51, 113–123 (2016). https://doi.org/10.1007/s40328-015-0114-8

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Keywords

  • Satellite visibility analysis
  • Global navigation satellite system (GNSS)
  • Dilution of precision (DOP)
  • Image classification
  • Photogrammetric analysis
  • Sky plot