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README.md
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@@ -48,6 +48,9 @@ Maya4 provides **Pre-Training (PT) dataset** exposing intermediate SAR signal st
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A major characteristic of this dataset lies in its sharding multi-level organisation:
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| π Level | π€ Abbrev. | π Description | π― Purpose / Value |
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| π‘ **Raw** | raw | Unprocessed radar echoes as recorded by Sentinel-1 | Baseline data; allows full custom SAR processing |
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| π― **Range Cell Migration Corrected** | rcmc | Motion-compensated echoes with corrected range migration | Preserves geometric fidelity; enables proper azimuth focusing |
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| πΌοΈ **Azimuth Compressed** | ac | Fully focused SAR image in slant-range geometry | Standard **Level-1 product**; interpretable imagery |
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A major characteristic of this dataset lies in its sharding multi-level organisation:
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<img src="https://i.ibb.co/Wv7SXd4N/intermediates.jpg" alt="Intermediates" width="100%">
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| π Level | π€ Abbrev. | π Description | π― Purpose / Value |
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|----------|-----------|----------------|--------------------|
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| π‘ **Raw** | raw | Unprocessed radar echoes as recorded by Sentinel-1 | Baseline data; allows full custom SAR processing |
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| π― **Range Cell Migration Corrected** | rcmc | Motion-compensated echoes with corrected range migration | Preserves geometric fidelity; enables proper azimuth focusing |
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| πΌοΈ **Azimuth Compressed** | ac | Fully focused SAR image in slant-range geometry | Standard **Level-1 product**; interpretable imagery |
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