Pre-earthquake Satellite Track Anomaly Identification Method Based on Atmospheric Ionosphere Parameters
A technology for satellite orbit and anomaly identification, which is applied in the intersection of aerospace remote sensing, geophysics and computer science, and can solve the problems of difficult progress in anomalous pattern identification and small proportion of anomalous points.
Active Publication Date: 2019-08-09
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology
However, due to the sporadic nature of earthquakes, the proportion of abnormal points in all sampling points is often small, and it is difficult to make progress in the identification of abnormal patterns before subsequent earthquakes.
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[0018] The present invention will be further described below in conjunction with the accompanying drawings and related algorithms.
[0019] The overall process of the present invention is as figure 1 shown.
[0020] The present invention eliminates the wild value of the original parameter and performs standardization processing for the atmospheric ionization data; defines the skewness and kurtosis of the ionospheric parameters on the satellite orbit; calculates the skewness and kurtosis of the parameters on each satellite orbit; uses t location-scale The distribution parameters and fitting error are obtained by distribution fitting; under different earthquake magnitudes, different thresholds are used to divide the probability density function, and the pre-earthquake satellite orbit anomaly identification model is established; the effectiveness and accuracy of this method are proved by comparing with the historical earthquake catalog information performance; using a comprehens...
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The invention discloses a seismic precursor satellite orbit anomaly identification method based on an atmosphere ionosphere parameter. The seismic precursor satellite orbit anomaly identification method comprises the following steps: carrying out the outliers rejection and the standardized processing of an original ionization parameter; defining the skewness and the kurtosis of the ionization parameter on a satellite orbit; calculating the skewness value and the kurtosis value of the parameter on each satellite orbit; using t location-scale distribution fitting to obtain a distribution parameter and a fitting error; under different seismic magnitudes, using different threshold values to divide a probability density function, and establishing a seismic precursor satellite orbit anomaly identification model; through comparison with historical seismic directory information, proving that the method is effective and accurate; and using a comprehensive assessment method to obtain a multi-parameter-oriented orbit identification model. The invention gives the seismic precursor satellite orbit anomaly identification method by aiming at the characteristics of huge data size, high information dimension and the like of the atmosphere ionization parameter, and the method can be used for satellite orbit anomaly detection and seismic precursor identification.
Description
technical field [0001] The invention relates to a satellite track anomaly identification method before an earthquake based on atmospheric ionospheric parameters, is a method for identifying satellite orbital anomalies when a strong earthquake monitors atmospheric ionospheric parameters, and belongs to the cross field of aerospace remote sensing, geophysics and computer science. Background technique [0002] The earth we live in has nearly ten thousand earthquakes every day. As one of the most serious natural disasters in the world, the secondary disasters directly and indirectly caused by earthquakes have brought great loss of life and property to the world. my country is located at the intersection of the circum-Pacific seismic belt and the Eurasian seismic belt, and is a country with severe earthquake disasters. How to analyze and identify earthquake precursors and improve the accuracy of earthquake prediction is of great significance to reducing earthquake disasters and ...
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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 皮德常臧思聪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS