全波形与重力联合反演方法及在南岭—武夷—东南沿海成矿带岩石圈三维精细结构成像的应用
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项目结题报告(全文)
1.A fast and stable approach for large-depth downward continuation of gravity anomalies based on frequency-domain 3-D imaging (vol 243, ggaf294, 2025)
2.Corrections to "A Frequency-Domain Iterative Approach for Rapid 3-D Imaging of Large-Scale Magnetic Amplitude Data Affected by Remanence"
- 关键词:
- Three-dimensional displays; Magnetic resonance imaging; Frequency-domainanalysis; Geoscience and remote sensing; Iterative methods; Remanence
3.Deep Learning in Gravity Research: A Review
- 关键词:
- deep learning; gravity; research status; development trend;POTENTIAL-FIELD DATA; INVERSION; NETWORK
This study explores the application of deep learning (DL) to gravity research, which is a promising intersection of earth science and information science. DL provides new methods and ideas for exploring and solving problems related to multiple solutions and uncertainty in the study of gravity. We focus on the application of convolutional neural networks, recurrent neural networks, and other DL technologies to gravity data denoising, interpolation, anomaly inversion, field modelling, and geological interpretation. However, importantly, the application of DL to the field of gravity research is still in its initial stage. There is significant potential for development and widespread application in overcoming limitations in sample size, network framework optimization, and generalization ability.
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