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| Denoising algorithm for gravity and magnetic data based on two-dimensional wavelet energy threshold |
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SUO Kui1, LÜ Xiaochun1, ZHANG Guibin2, JIA Zhengyuan2
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(1.College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China;2.School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China)
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| Abstract: |
| A 2D wavelet denoising algorithm was proposed based on energy threshold. It includes methods to determine parameters such as wavelet basis function, signal-to-noise separation level and denoising threshold, and avoids relying on the empirical selection of parameters. Model tests were carried out for additive noise and multiplicative noise, respectively, and the magnetic data from field measurements were processed. The results show that, compared with the linear filter and conventional 2D wavelet denoising results, the mean square error of the denoising results of the proposed method is the smallest. The algorithm can retain the anomaly pattern, which facilitates weak anomaly signal identification. |
| Key words: gravity and magnetic data 2-dimensional wavelet denoising algorithm energy threshold |
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