Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data
The accuracy of GNSS/Acoustic seafloor geodetic calibration is greatly influenced by the temporal variation of sound velocity, especially in the vertical direction. Aiming at correcting of the unknown parameters related to both the positions and the sound velocity, this paper proposes a step-by-step...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/15/3739 |
| _version_ | 1797440787823198208 |
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| author | Rui Shan Huimin Liu Shuang Zhao Haojun Li |
| author_facet | Rui Shan Huimin Liu Shuang Zhao Haojun Li |
| author_sort | Rui Shan |
| collection | DOAJ |
| description | The accuracy of GNSS/Acoustic seafloor geodetic calibration is greatly influenced by the temporal variation of sound velocity, especially in the vertical direction. Aiming at correcting of the unknown parameters related to both the positions and the sound velocity, this paper proposes a step-by-step inversion scheme based on moving survey data. The proposed method firstly estimates the horizontal normalized travel time delay with sound ray tracing strategy and then computes the horizontal position with circle line observations. We reconstructed an inversion scheme for extracting the surface sound velocity disturbance (SSVD) and corrected the vertical position from cross line data. The SSVD is decomposed into a sum of different period disturbances, and a new SSVD is reconstructed by combining the long period disturbance and short period disturbance. The proposed algorithm is verified by the South China Sea experiment for GNSS/Acoustic seafloor geodetic calibration. The results demonstrate that the new method can take the effects of sound velocity variation into consideration and improve the precision of the vertical position, which is superior to the least squares (LS), the single-difference LS for seafloor geodetic calibration. |
| first_indexed | 2024-03-09T12:14:27Z |
| format | Article |
| id | doaj.art-fe8f3ecef5044521b91c2c3b9dd559d0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T12:14:27Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fe8f3ecef5044521b91c2c3b9dd559d02023-11-30T22:49:28ZengMDPI AGRemote Sensing2072-42922022-08-011415373910.3390/rs14153739Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey DataRui Shan0Huimin Liu1Shuang Zhao2Haojun Li3College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, ChinaQingdao Institute of Marine Geology, China Geological Survey, 596 Guanshan Road, Qingdao 266237, ChinaChinese Academy of Surveying & Mapping, 28 Lianhuachi West Road, Beijing 100036, ChinaCollege of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, ChinaThe accuracy of GNSS/Acoustic seafloor geodetic calibration is greatly influenced by the temporal variation of sound velocity, especially in the vertical direction. Aiming at correcting of the unknown parameters related to both the positions and the sound velocity, this paper proposes a step-by-step inversion scheme based on moving survey data. The proposed method firstly estimates the horizontal normalized travel time delay with sound ray tracing strategy and then computes the horizontal position with circle line observations. We reconstructed an inversion scheme for extracting the surface sound velocity disturbance (SSVD) and corrected the vertical position from cross line data. The SSVD is decomposed into a sum of different period disturbances, and a new SSVD is reconstructed by combining the long period disturbance and short period disturbance. The proposed algorithm is verified by the South China Sea experiment for GNSS/Acoustic seafloor geodetic calibration. The results demonstrate that the new method can take the effects of sound velocity variation into consideration and improve the precision of the vertical position, which is superior to the least squares (LS), the single-difference LS for seafloor geodetic calibration.https://www.mdpi.com/2072-4292/14/15/3739GNSS/Acousticseafloor geodetic calibrationsound ray tracingsurface sound velocity disturbancevertical position |
| spellingShingle | Rui Shan Huimin Liu Shuang Zhao Haojun Li Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data Remote Sensing GNSS/Acoustic seafloor geodetic calibration sound ray tracing surface sound velocity disturbance vertical position |
| title | Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data |
| title_full | Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data |
| title_fullStr | Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data |
| title_full_unstemmed | Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data |
| title_short | Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data |
| title_sort | investigation on vertical position and sound velocity variation for gnss acoustic seafloor geodetic calibration based on moving survey data |
| topic | GNSS/Acoustic seafloor geodetic calibration sound ray tracing surface sound velocity disturbance vertical position |
| url | https://www.mdpi.com/2072-4292/14/15/3739 |
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