Airborne electromagnetic data processing method and system based on ground reference point
By collecting data from ground reference points and using the least mean square error algorithm to correct the airborne electromagnetic data, the problem of motion noise pollution was solved, efficient noise reduction of the data was achieved, and data quality was improved.
CN117348093BActive Publication Date: 2026-02-06SICHUAN SHUTONG GEOTECHNICAL ENG CO +1
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Patent Information
- Application Number
- CN202311378479.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-24
- Publication Date
- 2026-02-06
- Estimated Expiration
- 2043-10-24
AI Technical Summary
Technical Problem
Existing technologies cannot completely eliminate the effects of motion noise in aviation electromagnetic data, especially noise pollution caused by the attitude changes of coil sensors during flight.
Method used
By setting up reference points on the ground to collect data unaffected by motion noise, and then using the least mean square error algorithm for correction, combined with interpolation and forward modeling, the influence of motion noise is eliminated.
Benefits of technology
Effectively eliminates the influence of motion noise to the greatest extent and improves the accuracy and reliability of aviation electromagnetic data.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses an aviation electromagnetic data processing method and system based on a ground reference point, and comprises the following steps: arranging a transmitting source, collecting first response electromagnetic data corresponding to a plurality of air measuring points; selecting a plurality of ground reference points along the direction of the transmitting source, collecting second response electromagnetic data; performing forward simulation on the first response electromagnetic data after preprocessing, and obtaining a difference value between the ground and the air; loading the difference value into the second response electromagnetic data, and obtaining a reference correction value of any air measuring point in a to-be-detected region by using an interpolation method to obtain third response electromagnetic data; presetting an amplitude difference threshold, comparing the amplitudes of the first response electromagnetic data after preprocessing and the third response electromagnetic data, obtaining a frequency range of motion noise pollution corresponding to an amplitude difference greater than the amplitude difference threshold; and in the frequency range of motion noise pollution, extracting field value amplitudes of the ground reference points and the air measuring points, and performing denoising correction processing by using a least mean square error algorithm.
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