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RFInject/README.md ADDED
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+ ---
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+ name: RFInject
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+ authors:
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+ - Roberto Del Prete
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+ - Nermine Hendy
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+ license: APACHE-2.0
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+ source: https://cdn-avatars.huggingface.co/v1/production/uploads/6538dbdcaca9fa108fd50595/2nTO6KAHh2UvbaJTa0jCs.png
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+ thumbnail: https://philab.esa.int/
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+ ---
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+
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+ # RFInject – Synthetic RFI Injection for Sentinel-1 SAR Data
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+
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+ ## Overview
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+
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+ RFInject is a research-grade Earth Observation dataset and methodology for controlled synthetic Radio Frequency Interference (RFI) injection into clean Sentinel-1 Synthetic Aperture Radar (SAR) data.
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+
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+ The dataset is designed to enable reproducible benchmarking of RFI detection and mitigation algorithms, addressing a long-standing gap in the SAR community caused by the lack of standardized and controllable interference datasets.
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+
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+ RFInject preserves the physical and statistical properties of real Sentinel-1 acquisitions while enabling full parametric control over injected interference characteristics.
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+
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+ ## Motivation
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+
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+ Radio Frequency Interference is a major source of performance degradation in modern SAR missions. Sentinel-1 data is particularly affected, yet most existing studies rely on ad-hoc or irreproducible contamination scenarios.
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+
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+ RFInject enables:
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+ - Repeatable experimental setups
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+ - Controlled and parameterized interference scenarios
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+ - Algorithm-agnostic benchmarking across methods and sensors
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+
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+ ## Dataset Structure
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+
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+ ```
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+ /
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+ β”œβ”€β”€ RFInject/ # Sentinel-1 data with injected synthetic RFI
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+ β”‚ β”œβ”€β”€ product_001.zarr
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+ β”‚ β”œβ”€β”€ product_002.zarr
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+ β”‚ β”œβ”€β”€ product_003.zarr
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+ β”‚ └── burst_0
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+ β”‚ └── burst_1
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+ β”‚ └── burst_2
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+ β”‚ └── zarr.json (the product metadata)
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+ β”‚ └── echo (the clean burst)
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+ β”‚ └── rfi (the rfi to add to burst)
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+ β”‚ └── zarr.json (the RFI metadata)
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+ └── README.md
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+ ```
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+
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+
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+ ## Data Characteristics
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+
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+ | Property | Description |
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+ |---------------------|-------------|
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+ | Platform | Sentinel-1 |
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+ | Sensor | C-band SAR |
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+ | Data Level | L0 |
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+ | Interference Type | Synthetic RFI (parametric) |
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+ | File Format | zarr / analysis-ready |
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+
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+
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+ ## Methodology
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+
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+ Synthetic RFI is injected by superimposing parameterized interference signals onto clean Sentinel-1 radar echoes.
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+
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+ The approach ensures:
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+ - Spectral and temporal realism
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+ - Preservation of system characteristics
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+ - Full reproducibility through metadata-controlled parameters
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+
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+ ## Ingestion with EOTDL
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+
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+ ### CLI
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+
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+ ```bash
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+ eotdl datasets get RFInject
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+ ```
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+
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+ ## Intended Use
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+
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+ This dataset is intended for:
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+ - RFI detection and mitigation research
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+ - Machine learning model training and evaluation
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+ - Algorithm benchmarking
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+ - Reproducible SAR processing experiments
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+
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+ Users are responsible for validating suitability for operational or safety-critical applications.
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+
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+ ## Citation
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+
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+ ```
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+ @misc{rfinject_2025,
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+ author = { RFInject },
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+ title = { v1 (Revision 23853e6) },
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+ year = 2025,
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+ url = { https://huggingface.co/datasets/RFInject/v1 },
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+ doi = { 10.57967/hf/7227 },
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+ publisher = { Hugging Face }
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+ }
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+ ```
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+
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+ ## License
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+
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+ This dataset is released under the APACHE-2.0 license.
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+
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+ ## Acknowledgements
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+
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+ Developed within the ESA Ξ¦-lab research ecosystem and related collaborations.
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