Persistent Identifier
|
doi:10.18710/QAYI4O |
Publication Date
|
2020-07-23 |
Title
| Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis |
Author
| Khaleghian, Salman (UiT The Arctic University of Norway) - ORCID: 0000-0003-2267-8018
Lohse, Johannes Philipp (UiT The Arctic University of Norway) - ORCID: 0000-0002-8038-8572
Kræmer, Thomas (UiT The Arctic University of Norway) - ORCID: 0000-0002-0304-2498 |
Point of Contact
|
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Khaleghian, Salman (UiT The Arctic University of Norway) |
Description
| 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 (2019-12-18) |
Subject
| Earth and Environmental Sciences; Engineering; Computer and Information Science; Physics |
Keyword
| Deep Learning
Remote Sensing
Ice types
Ice Edge
Synthetic-aperture radar |
Related Publication
| 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/rs13091734 doi: 10.3390/rs13091734 https://doi.org/10.3390/rs13091734 |
Language
| English |
Producer
| UiT The Arctic University of Norway (UiT) https://en.uit.no/ |
Distributor
| UiT The Arctic University of Norway (UiT The Arctic University of Norway) https://dataverse.no/dataverse/uit |
Depositor
| Khaleghian, Salman |
Deposit Date
| 2019-12-18 |
Date of Collection
| Start Date: 2018-01-01 ; End Date: 2018-12-31 |
Data Type
| SAR Image; Satellite image |