Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysisdoi:10.18710/QAYI4ODataverseNO2020-07-231Khaleghian, 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, V1Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysisdoi:10.18710/QAYI4OKhaleghian, SalmanLohse, Johannes PhilippKræmer, ThomasUiT The Arctic University of NorwayDataverseNOUiT The Arctic University of NorwayKhaleghian, SalmanKhaleghian, Salman2019-12-18Computer and Information ScienceEarth and Environmental SciencesEngineeringPhysicsDeep LearningRemote SensingIce typesIce EdgeSynthetic-aperture radarThis 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, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class2018-01-012018-12-31SAR ImageSatellite imageThe file not available now, you should contact the author to get access.Khaleghian, S.; Ullah, H.; Kræmer, T.; Hughes, N.; Eltoft, T.; Marinoni, A. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks. Remote Sens. 2021, 13, 1734. https://doi.org/10.3390/rs1309173410.3390/rs13091734Khaleghian, S.; Ullah, H.; Kræmer, T.; Hughes, N.; Eltoft, T.; Marinoni, A. Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks. Remote Sens. 2021, 13, 1734. https://doi.org/10.3390/rs1309173400_Readme.txttext/plainPatches10x10.zipapplication/zipPatches20x20.zipapplication/zipPatches32x32.zipapplication/zippatches36x36.zipapplication/zipPatches46x46.zipapplication/zip