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

DOI

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

Identifier
DOI https://doi.org/10.18710/QAYI4O
Related Identifier IsCitedBy https://doi.org/10.3390/rs13091734
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/QAYI4O
Provenance
Creator Khaleghian, Salman ORCID logo; Lohse, Johannes Philipp ORCID logo; Kræmer, Thomas ORCID logo
Publisher DataverseNO
Contributor Khaleghian, Salman; UiT The Arctic University of Norway
Publication Year 2020
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Khaleghian, Salman (UiT The Arctic University of Norway)
Representation
Resource Type SAR Image; Dataset
Format text/plain; application/zip
Size 7043; 9345225; 17905797; 32907896; 36681631; 55485094
Version 1.4
Discipline Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Natural Sciences; Physics