Compress, index, reconstruct, verify.
NOEMA reduces raw SAR I/Q data for storage, transfer, and use in processing pipelines. Its indexed sidecar supports deterministic reconstruction of complete files or selected signal regions. Reconstruction is compared with the source using signal-level fidelity metrics. Results are dataset-dependent.
Process raw SAR signal data from an archive or pipeline, with throughput and fidelity requirements defined for the workflow.
NOEMA compresses signal data according to the statistical profile of each dataset. Compression performance depends on format, entropy, quantization, and fidelity target.
The sidecar records file structure, decode locations, reconstruction settings, and verification context. This keeps the archive usable and lets workflows locate selected files or regions.
Deterministically reconstruct full files or selected signal regions for replay, analysis, validation, or downstream processing. Measure reconstruction fidelity against the source using signal-level metrics.
For SAR ingestion, archives, and distribution.
Compress raw SAR I/Q at ingestion, retain it in indexed archives, and distribute it to downstream users. They can download the smaller full archive or use its index to retrieve only the signal blocks they need.
Apply NOEMA to raw SAR I/Q at the ingest stage to reduce the volume moving into storage or downstream systems. Measure throughput in the target environment against the required data rate.
Compress raw I/Q to reduce archive storage requirements while retaining indexed decode locations and reconstruction metadata.
Publish the compressed archive with its index for smaller full-archive downloads or retrieval and deterministic reconstruction of selected signal blocks.
Deterministic decoding. Indexed access. Measured fidelity.
Indexed region access
Sidecar metadata maps signal regions and blocks to their decode information. Workflows can locate and reconstruct selected regions without reconstructing the complete archive.
Shared codebook
One codebook can serve a batch of files, reducing overhead and keeping reconstruction behavior consistent across the archive.
Repeatable decoding, measured fidelity
The same compressed data and decode metadata produce the same reconstruction. Fidelity is measured against the source using SNR, normalized error, and correlation.
Runs beside existing systems
Designed to run alongside recorders, archives, processors, replay tools, and analysis workflows. Validate integration and throughput in the target pipeline.