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Extraction of Geochemical Anomaly Information Based on Fractal Filtering with Fast Fourier Transform
详细信息   
摘要
This work attempts to attain FFT power spectrum data by using the multifractal method to determine the regional background cut-off frequency,and then uses this frequency to extract anomaly information from original data by a low-pass filter.The result shows that the anomaly range obtained by traditional statistical methods is the biggest,and a NS-trending anomaly area can be found in the eastern part of the survey area.This is mainly due to the removing of the original data iteratively,and the anomaly threshold is not determined by all the data but by the background values.Due to the dynamic background values,regional background extraction can reconstruct the spatial structure of the geochemical field with a smaller anomaly range and more obvious concentration trends.Controlled by the high anomalous values,the regional anomalies disappear in the eastern part of the survey area,and its scope and intensity are less than that of regional background extraction.

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