Study on Filtering Methods of Airborne Gravity

Wei Zhou; Ti Jing Cai

doi:10.4028/www.scientific.net/AMM.333-335.516

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Study on Filtering Methods of Airborne Gravity

Study on Filtering Methods of Airborne Gravity

Abstract:

There are a great number of high-frequency and low-frequency noises in the airborne gravity data, so the filtering technology is needed to pick up the weak gravity anomaly. Based on the current filtering methods in airborne gravity data processing: butterworth infinite impulse response(IIR) filtering, window function finite impulse response(FIR) filtering and Kalman smoothing, several methods were compared and studied for the measured airborne gravity data, and the accuracies of extracted gravity anomalies were presented. Results show that the accuracy of Kalman smoothing is better than that of the combined filtering with butterworth IIR and window function FIR.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

516-521

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.516

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Online since:

July 2013

Authors:

Wei Zhou*, Ti Jing Cai

Keywords:

Airborne Gravimetry, Finite Impulse Response (FIR), Infinite Impulse Response (IIR), Kalman Smoothing

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