Taihan Wang

Orcid: 0000-0002-6234-0217

According to our database1, Taihan Wang authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Power-Type Structural Self-Constrained Inversion Methods of Gravity and Magnetic Data.
Remote. Sens., February, 2024

2023
Joint Inversion Method of Gravity and Magnetic Analytic Signal Data With Adaptive Unstructured Tetrahedral Subdivision.
IEEE Trans. Geosci. Remote. Sens., 2023

Joint Inversion of Gravity and Magnetic Data With Tetrahedral Unstructured Grid and its Application to Mineral Exploration.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Review of Ground Penetrating Radar Applications for Water Dynamics Studies in Unsaturated Zone.
Remote. Sens., December, 2022

A Density-Weighted and Cross-Gradient Constrained Joint Inversion Method of Gravity and Vertical Gravity Gradient Data in Spherical Coordinates and Its Application to Lunar Data.
IEEE Trans. Geosci. Remote. Sens., 2022

The Advantage Analysis of 3-D Inversion of Airborne Gravity Gradiometry Data With Larger Sampling Interval.
IEEE Trans. Geosci. Remote. Sens., 2022

High-Resolution Density Joint Inversion Method of Airborne and Ground Gravity Data With Cross-Constraint Technique.
IEEE Trans. Geosci. Remote. Sens., 2022

3-D Cross-Gradient Joint Inversion Method for Gravity and Magnetic Data With Unstructured Grids Based on Second-Order Taylor Formula: Its Application to the Southern Greater Khingan Range.
IEEE Trans. Geosci. Remote. Sens., 2022

3-D Inversion of Gravity Anomalies by Combining Power-Spectrum Derived Adaptive Weighting and Cross-Gradient Regulation: Application to Molybdenum-Copper Deposit.
IEEE Trans. Geosci. Remote. Sens., 2022

High-Efficiency Gravity Data Inversion Method Based on Locally Adaptive Unstructured Meshing.
IEEE Trans. Geosci. Remote. Sens., 2022

Cross-Gradient Joint Inversion of Gravity and Seismic Data With Triangular Grid Division by the Second-Order Finite-Difference Method.
IEEE Trans. Geosci. Remote. Sens., 2022

High-Precision Joint Magnetization Vector Inversion Method of Airborne Magnetic and Gradient Data with Structure and Data Double Constraints.
Remote. Sens., 2022

2021
The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion.
Remote. Sens., 2021

High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data.
Remote. Sens., 2021


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