Denoising method for airborne electromagnetic data based on mathematical morphology
A mathematical morphology and aero-electromagnetic technology, applied in the field of time-domain aero-electromagnetic and aero-electromagnetics, can solve the problems of incapable noise component compound morphological filtering, difficult to obtain accurate and effective prior knowledge, and non-uniform distribution of noise.
Inactive Publication Date: 2018-01-26
JILIN UNIV
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Problems solved by technology
[0005] Most of the existing morphological filtering methods only use single-scale structural elements, and single-scale morphology only selects a fixed structural element for morphological analysis of the signal. Although this method is simple and easy to implement, its processing effect is extremely poor. It relies heavily on relevant prior knowledge, but accurate and effective prior knowledge is often difficult to obtain
In addition, since the signal usually contains more than one type of noise, and the noise is often not evenly distributed in the signal
[0006] None of the existing morphological filtering methods can perform complex morphological filtering on different types and intensities of noise components in structural element signals at different scales
Method used
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Embodiment 1
[0058] (1) Raw airborne electromagnetic data obtained through the time-domain helicopter electromagnetic detection flight test. Specifically: use the data acquisition hardware circuit of the aeronautical electromagnetic detection system to obtain the waveform data of the detection result, and perform regular and equal interval sampling through the data acquisition hardware circuit to collect the original signal data of the aeronautical electromagnetic.
[0059] (2) The triangular structural element is suitable for filtering positive and negative pulse noise interference, and the semicircular structural element is suitable for filtering random noise interference. Therefore, the use of triangular and semicircular structural elements is considered to perform complex morphological filtering on the original signal. The specific process is as follows:
[0060] (1) First, corrode, expand, open and close the signal respectively:
[0061] Corrosion operation:
[0062] Expansion oper...
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The invention relates to a mathematical morphology-based airborne electromagnetic data denoising method, which obtains airborne electromagnetic detection data through experiments, uses a combination of triangular structural elements and semicircular structural elements, and performs self-adaptive multi-scale composite morphological filtering on airborne electromagnetic data : First determine the length range of the structural elements according to the minimum and maximum intervals between adjacent peaks in the original signal and then determine the corresponding analysis scale K; then determine the height range according to the minimum and maximum values of the signal peaks; use each structure The element set performs complex morphological operations on the original signal and takes the average value as the output result. The self-adaptive multi-scale compound morphological filtering method proposed by the present invention overcomes the problem of random selection of structural elements in traditional morphological filtering. The method can adaptively select the type and size of structural elements according to the local characteristics of the signal and the characteristics of noise, and then analyze the airborne electromagnetic signal to filter.
Description
technical field [0001] The invention relates to a data denoising method in the field of aeronautical electromagnetics, especially in the field of time domain aeronautical electromagnetics, in particular to a method for denoising data in aeronautical electromagnetics based on mathematical morphology. Background technique [0002] Airborne electromagnetic method is a kind of survey and detection method that uses aircraft as a carrier to carry out geophysical exploration. It is mainly used for rapid survey of metal ore bodies, large-scale geological mapping, hydrogeology, engineering geological exploration and environmental monitoring and other fields. [0003] Mathematical morphology is a discipline based on strict mathematical theory. It has been successfully applied in engineering practice fields such as image processing, graphic analysis, pattern recognition, computer vision, electrical energy disturbance, mechanical vibration and earthquake detection, and has attracted wide...
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IPC IPC(8): G01V3/38
Inventor 于生宝李齐高明亮刘伟宇陈旭
Owner JILIN UNIV