Method for boundary compensation based on morphological characteristics of geomagnetic anomaly data

Abstract

The invention belongs to the field of geomagnetic navigation, and particularly relates to a method for boundary compensation based on morphological characteristics of geomagnetic anomaly data. The method for boundary compensation based on the morphological characteristics of the geomagnetic anomaly data comprises the steps that regular meshing processing is conducted on the actually-measured geomagnetic anomaly data; a geomagnetic anomaly mesh data set is translated, so that a mean value is zero; two-dimensional empirical mode decomposition is conducted on the translated mesh data set with the zero mean value; the morphological characteristics of a two-dimensional empirical mode decomposition result are extracted; a data block unit is segmented and characteristic similarity redundancy of adjacent units is eliminated in real time; characteristic similarity redundancy of all the data block units is eliminated; a multilayer geomagnetic anomaly data boundary compensation database is established; boundary compensation is conducted on the geomagnetic anomaly data to be analyzed. According to the method for boundary compensation based on the morphological characteristics of the geomagnetic anomaly data, the problem of the boundary effect in local geomagnetic anomaly data analysis can be effectively solved, and compared with other methods, the method is better in applicability and better in use convenience.

Description

technical field [0001] The invention belongs to the field of geomagnetic navigation, in particular to a boundary compensation method based on the morphological characteristics of geomagnetic anomaly data. Background technique [0002] Geomagnetic navigation is a new passive and autonomous navigation method. Compared with traditional navigation methods, it has the advantages of all-weather, all-region, good concealment, and no accumulation of errors. The geomagnetic anomaly field is the main reference quantity in geomagnetic navigation. It is produced by the distribution of the crustal surface and local geographical features such as minerals, rocks, and artificial magnetic fields. The spatial structure is complex, and the magnetic anomaly intensity changes significantly with the spatial position, and the change in time is very stable. , is composed of many magnetic field distribution areas with different sizes and alternating positive and negative. Accurate geomagnetic anomal...

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Problems solved by technology

However, these methods have strong limitations, especially for geomagnetic anomaly fields with strong random distribution characteristics, whether it is the model prediction ability of support vector machine, neural network, gray scale prediction, etc., or the mirror image method, polynomial extension, etc. The accuracy of the compensation method will be greatly reduced

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