Spices – Sea Ice Edge Maps From The Fram Strait
Sea ice edge maps derived from Sentinel-1 SAR dual polarisation EW images using a Support Vector Machine (SVM) algorithm. Thisalgorithm is based on a SVM approach, and in addition uses texture calculation and principal component analysis (PCA) to classify sea ice types (Korosov et al., 2016). The ma...
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ftdatacite:10.5281/zenodo.1299354 2023-05-15T15:06:33+02:00 Spices – Sea Ice Edge Maps From The Fram Strait Babiker, Mohamed Korosov, Anton Park, Jeong-Won Hamre, Torill Yamakawa, Asuka 2018 https://dx.doi.org/10.5281/zenodo.1299354 https://zenodo.org/record/1299354 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1299355 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess CC-BY-SA Sea ice Arctic Ocean Sentinel-1 SAR synthetic aperture radar Support Vector Machine dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1299354 https://doi.org/10.5281/zenodo.1299355 2021-11-05T12:55:41Z Sea ice edge maps derived from Sentinel-1 SAR dual polarisation EW images using a Support Vector Machine (SVM) algorithm. Thisalgorithm is based on a SVM approach, and in addition uses texture calculation and principal component analysis (PCA) to classify sea ice types (Korosov et al., 2016). The main steps of the algorithms include: (1) pre-processing of the raw SAR data, (2) calculation of texture features, (3) unsupervised pre-classification of the image using PCA and k-means cluster analysis to reduce the number of ice classes, (4) expert re-classification of the image into the pre-calculated classes, (5) training of the SVM using input from the previous step, and (6) classifying the full image into the reduced number of classes using the trained SVM. To generate an ice edge product, the SVM algorithm is used with only two classes: sea ice and open water. Korosov, A., N. Zakhvatkina, A. Vesman, A. Mushta, and S. Muckenhuber, Sea ice classification algorithm for Sentinel-1 images, Poster at ESA Living Planet Symposium 2016, Prague, Czech Republic, 9-13 may, 2016. Dataset Arctic Arctic Ocean Fram Strait Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Sea ice Arctic Ocean Sentinel-1 SAR synthetic aperture radar Support Vector Machine |
spellingShingle |
Sea ice Arctic Ocean Sentinel-1 SAR synthetic aperture radar Support Vector Machine Babiker, Mohamed Korosov, Anton Park, Jeong-Won Hamre, Torill Yamakawa, Asuka Spices – Sea Ice Edge Maps From The Fram Strait |
topic_facet |
Sea ice Arctic Ocean Sentinel-1 SAR synthetic aperture radar Support Vector Machine |
description |
Sea ice edge maps derived from Sentinel-1 SAR dual polarisation EW images using a Support Vector Machine (SVM) algorithm. Thisalgorithm is based on a SVM approach, and in addition uses texture calculation and principal component analysis (PCA) to classify sea ice types (Korosov et al., 2016). The main steps of the algorithms include: (1) pre-processing of the raw SAR data, (2) calculation of texture features, (3) unsupervised pre-classification of the image using PCA and k-means cluster analysis to reduce the number of ice classes, (4) expert re-classification of the image into the pre-calculated classes, (5) training of the SVM using input from the previous step, and (6) classifying the full image into the reduced number of classes using the trained SVM. To generate an ice edge product, the SVM algorithm is used with only two classes: sea ice and open water. Korosov, A., N. Zakhvatkina, A. Vesman, A. Mushta, and S. Muckenhuber, Sea ice classification algorithm for Sentinel-1 images, Poster at ESA Living Planet Symposium 2016, Prague, Czech Republic, 9-13 may, 2016. |
format |
Dataset |
author |
Babiker, Mohamed Korosov, Anton Park, Jeong-Won Hamre, Torill Yamakawa, Asuka |
author_facet |
Babiker, Mohamed Korosov, Anton Park, Jeong-Won Hamre, Torill Yamakawa, Asuka |
author_sort |
Babiker, Mohamed |
title |
Spices – Sea Ice Edge Maps From The Fram Strait |
title_short |
Spices – Sea Ice Edge Maps From The Fram Strait |
title_full |
Spices – Sea Ice Edge Maps From The Fram Strait |
title_fullStr |
Spices – Sea Ice Edge Maps From The Fram Strait |
title_full_unstemmed |
Spices – Sea Ice Edge Maps From The Fram Strait |
title_sort |
spices – sea ice edge maps from the fram strait |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1299354 https://zenodo.org/record/1299354 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Fram Strait Sea ice |
genre_facet |
Arctic Arctic Ocean Fram Strait Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.1299355 |
op_rights |
Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-SA |
op_doi |
https://doi.org/10.5281/zenodo.1299354 https://doi.org/10.5281/zenodo.1299355 |
_version_ |
1766338130738151424 |