An Adaptive Modeling-Based Aeromagnetic Maneuver Noise Suppression Method and Its Application in Mine Detection

Article Chemistry, Multidisciplinary

An Aeromagnetic Compensation Algorithm Based on Radial Basis Function Artificial Neural Network

Shuai Zhou et al.

Summary: Aeromagnetic exploration is a method to detect changes in the earth's magnetic field using magnetometers loaded on aircraft. UAV aeromagnetic surveying has become increasingly important in mineral exploration due to its advantages of low cost and safety. This study focused on improving the accuracy of UAV-based aeromagnetic data measurement by proposing a radial basis function (RBF) artificial neural network (ANN) algorithm for compensation. The results showed that the RBF-ANN had higher compensation accuracy and stronger generalization ability compared to the classical backpropagation (BP) ANN.

APPLIED SCIENCES-BASEL (2023)

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Article Chemistry, Multidisciplinary

The Conjunctive Compensation Method Based on Inertial Navigation System and Fluxgate Magnetometer

Bingyang Chen et al.

Summary: Eliminating the magnetic interference of the carrier platform is crucial in aeromagnetic survey. The traditional compensation method using fluxgate magnetometer for attitude measurement has limitations due to errors and susceptibility to external interference. This article proposes a new compensation method based on inertial navigation systems (INS) and fluxgate magnetometer information, which improves the compensation effect and significantly enhances the quality of aeromagnetic data in real-time flight experiments.

APPLIED SCIENCES-BASEL (2023)

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Article Chemistry, Multidisciplinary

An Improved Aeromagnetic Compensation Method Robust to Geomagnetic Gradient

Yongqiang Feng et al.

Summary: Aeromagnetic surveys are important in various fields, and performing aeromagnetic compensation is necessary and crucial. The proposed improved method robust to geomagnetic gradient has significantly enhanced the compensation performance, especially for weak magnetic anomaly detection.

APPLIED SCIENCES-BASEL (2022)

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Article Environmental Sciences

Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran

Ali Akbar Aali et al.

Summary: The fusion of remote sensing, geophysical, and geological data is a robust, reliable, and low-cost approach for identifying high potential zones of polymetallic mineralization. This study successfully identified hydrothermal alteration mineral zones, intrusive masses, faults, and lineaments in the Chakchak region of Iran using Sentinel-2 and Landsat 7 remote sensing data, aerial magnetic geophysical data, and geological data. Several high potential zones of polymetallic mineralization were confirmed through field campaigns and drilling programs.

REMOTE SENSING (2022)

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Article Geochemistry & Geophysics

Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping (MPM) Using Fuzzy-AHP Decision-Making Method, Kodegan-Basiran Region, East Iran

Ali Shabani et al.

Summary: Analyzing and fusing information layers of exploratory parameters is crucial for accurately pinpointing mineral potential zones. This study successfully identified metallic mineralization in the Kodegan-Basiran region of East Iran by analyzing and fusing remote sensing, geophysical, geochemical, and geology data.

MINERALS (2022)

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Article Engineering, Multidisciplinary

An improved neural network method for aeromagnetic compensation

Ping Yu et al.

Summary: The paper introduces a neural network compensation method that combines linear regression and neural networks to enhance the model's generalization. By using generalized regression neural networks (GRNNs) and appropriate smoothing factors, the overfitting problem is effectively mitigated.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

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Article Computer Science, Information Systems