Details
| Original language | English |
|---|---|
| Title of host publication | International Association of Geodesy Symposia |
| Editors | Jeffrey T. Freymueller, Laura Sánchez |
| Place of Publication | Berlin |
| Publisher | Springer Nature |
| Pages | 345-357 |
| Number of pages | 13 |
| ISBN (print) | 9783031295065 |
| Publication status | Published - 28 Jul 2022 |
Publication series
| Name | International Association of Geodesy Symposia |
|---|---|
| Volume | 154 |
| 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
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
- Earth and Planetary Sciences(all)
- Geophysics
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
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- BibTeX
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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 proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - On the Potential of Image Similarity Metrics for Comparing Phase Center Corrections
AU - Kröger, Johannes
AU - Kersten, Tobias
AU - Breva, Yannick
AU - Schön, Steffen
N1 - Publisher Copyright: © 2022, The Author(s).
PY - 2022/7/28
Y1 - 2022/7/28
N2 - 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.
AB - 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.
KW - phase center corrections (PCC)
KW - Multi-GNSS processing
KW - Image similarity metrics
KW - Singular value decomposition
KW - Phase center corrections
UR - http://www.scopus.com/inward/record.url?scp=85172669294&partnerID=8YFLogxK
U2 - 10.1007/1345_2022_146
DO - 10.1007/1345_2022_146
M3 - Conference contribution
SN - 9783031295065
T3 - International Association of Geodesy Symposia
SP - 345
EP - 357
BT - International Association of Geodesy Symposia
A2 - Freymueller, Jeffrey T.
A2 - Sánchez, Laura
PB - Springer Nature
CY - Berlin
ER -