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已同步 2025-08-04 11:16:52 +08:00
13
README.md
13
README.md
@@ -14,22 +14,33 @@ A PyTorch-based implementation of a source-independent full waveform inversion (
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📉 Support initial model or none, time-depth conversion, depth-time conversion, GSSI data conversion and other functions...
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📉 Support initial model or none, time-depth conversion, depth-time conversion, GSSI data conversion and other functions...
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### 📂 Project Structure
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GPR-SIDL-inv/
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GPR-SIDL-inv/
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│
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├── dataset/ # Training/testing data and synthetic datasets
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├── dataset/ # Training/testing data and synthetic datasets
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├── field_data/ # Network architectures
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├── field_data/ # Network architectures
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├── gprMax/ # Data processing, waveform simulation, etc.
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├── gprMax/ # Data processing, waveform simulation, etc.
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├── IMG/ # Training script
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├── IMG/ # Training script
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├── impulse/ # Inversion / prediction script
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├── impulse/ # Inversion / prediction script
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├── log/ # Custom loss functions
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├── log/ # Custom loss functions
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├── Network/ # Custom loss functions
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├── Network/ # Custom loss functions
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├── readgssi/ # Inversion / prediction script
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├── readgssi/ # Inversion / prediction script
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├── SAVE/ # Custom loss functions
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├── SAVE/ # Custom loss functions
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├── time_result_csv/ # Custom loss functions
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├── time_result_csv/ # Custom loss functions
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├── utils/ # Custom loss functions
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├── utils/ # Custom loss functions
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├── 1_model_generator.py # Randomly generate in files as needed to support forward modeling of gprMax in 3D media.
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├── 1_model_generator.py # Randomly generate in files as needed to support forward modeling of gprMax in 3D media.
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├── 2_forward_simulation.py # Run the forward modeling program to generate A-scan results
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├── 2_forward_simulation.py # Run the forward modeling program to generate A-scan results
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├── 3_combine_dataset.py # Filter all A-scan data and generate a dataset
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├── 3_combine_dataset.py # Filter all A-scan data and generate a dataset
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