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Improving gravity estimation accuracy for the GT-2A airborne gravimeter using spline-based gravity modelsтезисы доклада
- Авторы: Vyazmin V.S., Bolotin Y.V., Smirnov A.O.
- Сборник: Paper abstracts of the 5th IAG Symposium on Terrestrial Gravimetry: Static and Mobile Measurements (TG-SMM 2019), 1-4 October 2019, St. Petersburg, Russia
- Тезисы
- Год издания: 2019
- Место издания: ГНЦ АО "Концерн "ЦНИИ "Электроприбор" Санкт-Петербург, Россия
- Первая страница: 14
- Последняя страница: 15
- Аннотация: The new technique for processing data at repeat drape lines of airborne gravity surveys is proposed. We utilize the fact that all the lines are flown along the same track. To model gravity, we use the same cubic B-spline model for all repeat lines. Gravity estimation is done with the Kalman Filter, where the spline coefficients are included in the state vector as unknown constants. The results are tested on the data collected by the GT-2A gravimeter during a drape flight survey, and compared to that obtained with the standard technique that assumes gravity to be a stochastic process in time. A substantial increase in accuracy is noted.
- Добавил в систему: Вязьмин Вадим Сергеевич