10.18710/QAYI4OKhaleghian, SalmanSalmanKhaleghian0000-0003-2267-8018UiT The Arctic University of NorwayLohse, Johannes PhilippJohannes PhilippLohse0000-0002-8038-8572UiT The Arctic University of NorwayKræmer, ThomasThomasKræmer0000-0002-0304-2498UiT The Arctic University of NorwaySynthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysisDataverseNO2020Computer and Information ScienceEarth and Environmental SciencesEngineeringPhysicsDeep LearningRemote SensingIce typesIce EdgeSynthetic-aperture radarKhaleghian, SalmanSalmanKhaleghianUiT The Arctic University of NorwayUiT The Arctic University of NorwayUiT The Arctic University of NorwayUiT The Arctic University of Norway2019-12-182023-11-012018-01-01/2018-12-31SAR Image10.3390/rs130917347043934522517905797329078965548509436681631text/plainapplication/zipapplication/zipapplication/zipapplication/zipapplication/zip1.4CC0 1.0This 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 class