Published April 15, 2024 | Version 1.0
Dataset Open

The fully executable procedure of the U-Net model combined with the Multi-textRG algorithm to achieve fine ice-water classification ---- another 332 scenes of data-fused SIC labels.

  • 1. ROR icon Sun Yat-sen University

Description

This data source is related to the manuscript titled "Combining the U-Net model and a Multi-textRG algorithm for fine SAR ice-water classification", which will be submitted to the journal---The Cryosphere.  

  • The"ready-to-train-fused_01.zip"  to "ready-to-train-fused_10.zip" includes 200 scenes of data-fused SIC labels accessible with doi: 10.5281/zenodo.10973107,  https://zenodo.org/records/10973107. 
  • The "ready-to-train-fused_11.zip"  to "ready-to-train-fused_21.zip" includes another 332 scenes of data-fused SIC labels. 

Files

ready-to-train-fused_11.zip

Files (39.6 GB)

Name Size Download all
md5:b9374e2de48e02277c94d58d056d63c3
3.3 GB Preview Download
md5:d505e131eba2fc870d48fdd2c21d18d2
3.5 GB Preview Download
md5:c73234717e96a79201a0634663665d04
3.2 GB Preview Download
md5:e4f42f989297abcb12c2668d24d318c8
3.5 GB Preview Download
md5:f884a160e41288f66010d85351b4b136
3.8 GB Preview Download
md5:77e60226056864f1c2aba80399f4c689
3.9 GB Preview Download
md5:bddacc4f3dbbc6acff17be59c5bcbf02
3.7 GB Preview Download
md5:f3a81cf5e7f5c0e5685eb4233e0fb62d
4.1 GB Preview Download
md5:a322a9a654e934680ccb0265be17b95b
3.6 GB Preview Download
md5:e370d339eb54392e8b6960e432f9c36b
4.1 GB Preview Download
md5:4c40650056ea92e755ae023327ee4e72
2.9 GB Preview Download