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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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  | 🌐 Level | πŸ”€ Abbrev. | πŸ“ Description | 🎯 Purpose / Value |
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  |----------|-----------|----------------|--------------------|
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  | πŸ“‘ **Raw** | raw | Unprocessed radar echoes as recorded by Sentinel-1 | Baseline data; allows full custom SAR processing |
@@ -55,6 +58,8 @@ A major characteristic of this dataset lies in its sharding multi-level organisa
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  | 🎯 **Range Cell Migration Corrected** | rcmc | Motion-compensated echoes with corrected range migration | Preserves geometric fidelity; enables proper azimuth focusing |
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  | πŸ–ΌοΈ **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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  | 🌐 Level | πŸ”€ Abbrev. | πŸ“ Description | 🎯 Purpose / Value |
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  |----------|-----------|----------------|--------------------|
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  | πŸ“‘ **Raw** | raw | Unprocessed radar echoes as recorded by Sentinel-1 | Baseline data; allows full custom SAR processing |
 
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  | 🎯 **Range Cell Migration Corrected** | rcmc | Motion-compensated echoes with corrected range migration | Preserves geometric fidelity; enables proper azimuth focusing |
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  | πŸ–ΌοΈ **Azimuth Compressed** | ac | Fully focused SAR image in slant-range geometry | Standard **Level-1 product**; interpretable imagery |
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