DIG — Digital Imaging for Geophysics

An open-source suite for processing, analyzing, and visualizing Ground Penetrating Radar (GPR) and Magnetometry data for archaeological prospection.

DIG bridges the gap between high-performance geophysical processing and user-friendly archaeological interpretation, utilizing a Rust-based DSP backend and a rich PySide6 / PyVista 3D visualization frontend.

📖 Documentation

The full documentation—including the User Guide, API Reference, and Integration Guides—is available at: DIG Documentation

🚀 Quick Start

Installation

For most users, simply install DIG via PyPI:

pip install dig-gpr

Alternatively, you can download pre-compiled standalone executables (Windows .exe, macOS .dmg, Linux AppImage) from our Releases page.

Python API Example

from dig.parsers import DZTFile
from dig.processing import dewow, background, gain

# Load a GSSI DZT file using the zero-copy Rust parser
dzt = DZTFile("survey.dzt")
data = dzt.traces

# Apply a standard pipeline
data = dewow.dewow_fft(data, sample_rate=1e9)
data = background.remove_background_global(data)
data = gain.sec_gain(data, sample_rate=1e9)

🏗️ Architecture

dig/              # Python package (GUI, orchestration, export)
├── core/         # Rust bindings (PyO3)
├── parsers/      # Format parsers (DZT, DT1, magnetometry, SEG-Y)
├── processing/   # Signal processing pipeline (DAG-based, immutable)
├── viz/          # PySide6 + PyQtGraph + PyVista visualization
├── export/       # GeoTIFF, CSV, GeoJSON, QGIS project export
└── models/       # Data models (Survey, Grid3D, AuditTrail)

dig-core/         # Rust crate (performance-critical code)
├── parser/       # Binary format parsers (nom-based)
├── dsp/          # SIMD-accelerated signal processing
└── io/           # Memory-mapped file I/O

📊 Supported Formats

🛠️ Contributing

We welcome contributions from archaeologists, geophysicists, and software engineers! See our CONTRIBUTING.md for instructions on setting up the Rust and Python development environments.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.