7,871 to 7,880 of 11,083 Results
Plain Text - 154 B -
MD5: 87e1802c5c38aa31b035384ebbca11bf
Altitudes |
Plain Text - 30.3 KB -
MD5: 0d60de1060e079008984341427870c2a
Meridional winds |
Plain Text - 34.6 KB -
MD5: be9273b2a0eca156e5a12f33debd7605
Sodium densities (Vertical beam) |
MPEG-4 Video - 1.6 MB -
MD5: 0099a6bdefc38ab091591a96b02f1a1e
Supplementary OH movie |
Plain Text - 30.4 KB -
MD5: 2774fa30c2654b486558c1c3df95e079
Temperature (average of 5 beams) |
Plain Text - 780 B -
MD5: 3b08827fdd1526117b3718be4fdcb35e
Time (13:34 to 20:01 UT) |
Plain Text - 819 B -
MD5: fc63df6aa6f28658b5af9e5d82a70467
Zenith intensities from raw OH images |
Plain Text - 30.4 KB -
MD5: ae4101bc4a79664c7324960f51a17c23
Zonal wind |
Jul 23, 2020
Khaleghian, Salman; Lohse, Johannes Philipp; Kræmer, Thomas, 2020, "Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis", https://doi.org/10.18710/QAYI4O, DataverseNO, V1
This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice,... |
Jul 23, 2020 -
Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis
Plain Text - 6.9 KB -
MD5: d7f34c3c36252d32399387a81c8b3ea0
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