Results 111 to 120 of about 400,305 (151)
Some of the next articles are maybe not open access.

An improved neural network method for aeromagnetic compensation

Measurement Science and Technology, 2021
Abstract Aeromagnetic compensation plays an important role in aeromagnetic data processing and can eliminate the magnetic interference generated by aircraft. Currently, aeromagnetic compensation algorithms are mostly based on linear regression equations, but linear regression has insufficient fitting function capabilities compared to ...
Ping Yu   +4 more
openaire   +1 more source

An Aeromagnetic Compensation Method Based on Attention Mechanism

IEEE Geoscience and Remote Sensing Letters
Xiaoyu Ma, Ting Li, Zehao Li
exaly   +2 more sources

Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation

IEEE Geoscience and Remote Sensing Letters, 2018
Measuring the performance of an aeromagnetic compensation system is usually difficult. The standard deviation of the signal has been used as an index in the industry. While the standard deviation is drawn from frequency statistics, it cannot represent the performance on a single sampling point.
Ming Ma 0010   +3 more
openaire   +1 more source

A dual estimate method for aeromagnetic compensation

Measurement Science and Technology, 2017
Abstract Scalar aeromagnetic surveys have played a vital role in prospecting. However, before analysis of the surveys’ aeromagnetic data is possible, the aircraft’s magnetic interference should be removed. The extensively adopted linear model for aeromagnetic compensation is computationally efficient but faces an underfitting problem.
Ming Ma, Zhijian Zhou, Defu Cheng
openaire   +1 more source

Aeromagnetic Gradiometry And Compensation

5th SAGA Biennial Conference and Exhibition, 1997
Although the concepts of aeromagnetic gradiometry are not new, it is only in the past several years, with a handful of gradient-equipped aircraft becoming operational, that the benefits are being realized. The main applications to date are the following: • In a total field survey, a lateral gradiometer provides additional information about the field ...
openaire   +2 more sources

Aeromagnetic compensation using neural networks

Neural Computing & Applications, 1993
Airborne magnetic surveys in geophysical exploration can be subject to interference effects from the aircraft. Principal sources are the permanent magnetism of various parts of the aircraft, induction effects created by the earth's magnetic field and eddy-current fields produced by the aircraft's manoeuvres.
openaire   +1 more source

Modeling and reduction of the gradient effect of a magnetic sensor for an aeromagnetic compensator

Review of Scientific Instruments, 2021
The traditional aeromagnetic compensation model does not consider the negative effects of the gradient of the geomagnetic background field. Especially in emergency aeromagnetic surveys, this gradient effect is obvious and can reduce the performance of magnetic compensation.
Jian Ge   +7 more
openaire   +2 more sources

Performance measures in aeromagnetic compensation

The Leading Edge, 2011
Aeromagnetic compensation is essential for the generation of highly accurate data in airborne geophysical surveys. Its objective is the removal of magnetic interference (or noise) in the signals, measured by magnetometer sensors, which is caused by the maneuvering of an aircraft flying within the Earth's magnetic field.
openaire   +1 more source

An Automatic Method to Estimate the Calibration Quality of the Aeromagnetic Compensation

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Aeromagnetic compensation is an effective technique to reduce magnetic interference of the aircraft during an aero-magnetic survey. As an important indicator to evaluate the compensation effect, the figure of merit (FOM) is widely applied. However, calculating FOM needs to label the maneuvers manually.
Yizhen Wang   +3 more
openaire   +2 more sources

A Simulation Method of Generating the Output of Magnetometer for Aeromagnetic Compensation

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Most data used to develop the magnetic interference compensation algorithms are derived from the actual measurement of aerial magnetometer. However, it takes a long time and high cost to get the actual data, which will increase the time and difficulty for algorithms development. In practice, simulation magnetic data can be generated for the development
Zhiyuan Hang   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy