🏒 Maya4

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🌌 Maya4

Maya4 is a project dedicated to curating and providing multi-level intermediate SAR representations from Sentinel-1 acquisitions, spanning the entire chain from Level 0 to Level 1.

The name Maya4 draws inspiration from the Māyā veil in philosophy, where reality is hidden behind successive layersβ€”just as radar echoes undergo transformations before forming a final SAR image.


πŸš€ Mission


πŸ“¦ Pre-Training Dataset Spaces

Maya4 provides Pre-Training (PT) dataset exposing intermediate SAR signal states in a modern (Zarr Format):

πŸ“‚ Dataset Split πŸ“Š Contents πŸ›°οΈ Acquisition Mode πŸ’Ύ Size
pt1 LINK Stripmap 17 TB
pt2 LINK Stripmap 17 TB
pt3 LINK Stripmap 17 TB
pt4 LINK Stripmap 17 TB
Total β€” β€” 68 TB

πŸ“Š Processing Levels

A major characteristic of this dataset lies in its sharding multi-level organisation:

Intermediates
🌐 Level πŸ”€ Abbrev. πŸ“ Description 🎯 Purpose / Value
πŸ“‘ Raw raw Unprocessed radar echoes as recorded by Sentinel-1 Baseline data; allows full custom SAR processing
🎚️ Range Compressed rc Echoes compressed in the range dimension via matched filtering Improves SNR; isolates scatterers along range
🎯 Range Cell Migration Corrected rcmc Motion-compensated echoes with corrected range migration Preserves geometric fidelity; enables proper azimuth focusing
πŸ–ΌοΈ Azimuth Compressed ac Fully focused SAR image in slant-range geometry Standard Level-1 product; interpretable imagery

🌍 PT Use Cases

The following use cases can be addressed with Maya4:

🌌 Maya4 Dataset Cards


πŸ™ Acknowledgements