Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis

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, Thin Ice, Thick Ice...

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Bibliographic Details
Main Authors: Khaleghian, Salman, Lohse, Johannes Philipp, Kræmer, Thomas
Format: Other/Unknown Material
Language:English
Published: DataverseNO 2020
Subjects:
Computer and Information Science
Earth and Environmental Sciences
Engineering
Physics
Deep Learning
Remote Sensing
Ice types
Ice Edge
Synthetic-aperture radar
Pancake
Svalbard
Online Access:https://doi.org/10.18710/QAYI4O
Description
Summary: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, 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

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