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Browse files- RFInject/README.md +106 -0
- RFInject/RFInject.tar.zst +3 -0
- RFInject/catalog.parquet +3 -0
RFInject/README.md
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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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# RFInject β Synthetic RFI Injection for Sentinel-1 SAR Data
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## Overview
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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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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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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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## Motivation
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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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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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## Dataset Structure
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```
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/
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βββ RFInject/ # Sentinel-1 data with injected synthetic RFI
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β βββ product_001.zarr
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β βββ product_002.zarr
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β βββ product_003.zarr
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β βββ burst_0
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β βββ burst_1
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β βββ burst_2
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β βββ zarr.json (the product metadata)
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β βββ echo (the clean burst)
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β βββ rfi (the rfi to add to burst)
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β βββ zarr.json (the RFI metadata)
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βββ README.md
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```
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## Data Characteristics
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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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## Methodology
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Synthetic RFI is injected by superimposing parameterized interference signals onto clean Sentinel-1 radar echoes.
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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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## Ingestion with EOTDL
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### CLI
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```bash
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eotdl datasets get RFInject
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```
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## Intended Use
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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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Users are responsible for validating suitability for operational or safety-critical applications.
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## Citation
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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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## License
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This dataset is released under the APACHE-2.0 license.
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## Acknowledgements
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Developed within the ESA Ξ¦-lab research ecosystem and related collaborations.
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RFInject/RFInject.tar.zst
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version https://git-lfs.github.com/spec/v1
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oid sha256:da64cebc0f88ed3eeaea2e31a668dcf541c18b12daf5c2831f52612b1d5cd446
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size 442084626348
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RFInject/catalog.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9eb59c9eb829f7832ff14806afb588d54792b9cd286cd0118b0baa9567d7574
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size 9824
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