On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections

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Details

Original languageEnglish
Title of host publicationInternational Association of Geodesy Symposia
EditorsJeffrey T. Freymueller, Laura Sánchez
Place of PublicationBerlin
PublisherSpringer Nature
Pages345-357
Number of pages13
ISBN (print)9783031295065
Publication statusPublished - 28 Jul 2022

Publication series

NameInternational Association of Geodesy Symposia
Volume154
ISSN (Print)0939-9585
ISSN (electronic)2197-9359

Abstract

For highly precise and accurate positioning and navigation with Global Navigation Satellite Systems (GNSS), it is mandatory to take phase center corrections (PCC) into account. These corrections are provided by different calibration facilities and methods. Currently, discussions in the framework of the International GNSS Service (IGS) antenna working group (AWG) are ongoing on how to accept new calibration facilities as an official IGS calibration facility. In this paper, different image similarity measures and their potential for comparing PCC are presented. Currently used comparison strategies are discussed and their performance is illustrated with several geodetic antennas. We show that correlation coefficients are an appropriate measure to compare different sets of PCC since they perform independently of a constant part within the patterns. However, feature detection algorithms like the Speeded-Up Robust Features (SURF) mostly do not find distinctive structures within the PCC differences due to the smooth character of PCC. Therefore, they are inapplicable for comparing PCC. Singular Value Decomposition (SVD) of PCC differences (ΔPCC) can be used to analyse which structures ΔPCC are composed of. We show that characteristic structures can be found within ΔPCC. Therefore, the SVD is a promising tool to analyse the impact of PCC differences in the coordinate domain.

Keywords

    phase center corrections (PCC), Multi-GNSS processing, Image similarity metrics, Singular value decomposition, Phase center corrections

ASJC Scopus subject areas

Research Area (based on ÖFOS 2012)

  • TECHNICAL SCIENCES
  • Electrical Engineering, Electronics, Information Engineering
  • Electrical Engineering, Electronics, Information Engineering
  • Microwave engineering
  • TECHNICAL SCIENCES
  • Environmental Engineering, Applied Geosciences
  • Geodesy, Surveying
  • Satellite geodesy
  • TECHNICAL SCIENCES
  • Environmental Engineering, Applied Geosciences
  • Geodesy, Surveying
  • Satellite-based coordinate measuring

Cite this

On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections. / Kröger, Johannes; Kersten, Tobias; Breva, Yannick et al.
International Association of Geodesy Symposia. ed. / Jeffrey T. Freymueller; Laura Sánchez. Berlin: Springer Nature, 2022. p. 345-357 (International Association of Geodesy Symposia; Vol. 154).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Kröger, J, Kersten, T, Breva, Y & Schön, S 2022, On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections. in JT Freymueller & L Sánchez (eds), International Association of Geodesy Symposia. International Association of Geodesy Symposia, vol. 154, Springer Nature, Berlin, pp. 345-357. https://doi.org/10.1007/1345_2022_146
Kröger, J., Kersten, T., Breva, Y., & Schön, S. (2022). On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections. In J. T. Freymueller, & L. Sánchez (Eds.), International Association of Geodesy Symposia (pp. 345-357). (International Association of Geodesy Symposia; Vol. 154). Springer Nature. https://doi.org/10.1007/1345_2022_146
Kröger J, Kersten T, Breva Y, Schön S. On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections. In Freymueller JT, Sánchez L, editors, International Association of Geodesy Symposia. Berlin: Springer Nature. 2022. p. 345-357. (International Association of Geodesy Symposia). doi: 10.1007/1345_2022_146
Kröger, Johannes ; Kersten, Tobias ; Breva, Yannick et al. / On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections. International Association of Geodesy Symposia. editor / Jeffrey T. Freymueller ; Laura Sánchez. Berlin : Springer Nature, 2022. pp. 345-357 (International Association of Geodesy Symposia).
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