The polar sea ice topography reconstruction system
The Polar Sea Ice Topography REconstruction System, or PSITRES, is a 3D camera system designed to continuously monitor an area of ice and water adjacent to an ice-going vessel. Camera systems aboard ships in the polar regions are common; however, the application of computer vision techniques to extr...
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Cambridge University Press
2020
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ftdoajarticles:oai:doaj.org/article:566da4cebee94346acbe5a9ba4936d36 2023-05-15T13:29:33+02:00 The polar sea ice topography reconstruction system Scott Sorensen Vinit Veerendraveer Wayne Treible Andrew R. Mahoney Chandra Kambhamettu 2020-09-01T00:00:00Z https://doi.org/10.1017/aog.2020.21 https://doaj.org/article/566da4cebee94346acbe5a9ba4936d36 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S026030552000021X/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.21 0260-3055 1727-5644 https://doaj.org/article/566da4cebee94346acbe5a9ba4936d36 Annals of Glaciology, Vol 61, Pp 127-138 (2020) remote sensing stereo camera sea ice observer polar bears Arctic research vessel Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/aog.2020.21 2023-03-12T01:31:55Z The Polar Sea Ice Topography REconstruction System, or PSITRES, is a 3D camera system designed to continuously monitor an area of ice and water adjacent to an ice-going vessel. Camera systems aboard ships in the polar regions are common; however, the application of computer vision techniques to extract high-level information from the imagery is infrequent. Many of the existing systems are built for human involvement throughout the process and lack automation necessary for round the clock use. The PSITRES was designed with computer vision in mind. It can capture images continuously for days on end with limited oversight. We have applied the system in different ice observing scenarios. The PSITRES was deployed on three research expeditions in the Arctic and Subarctic, and we present applications in measuring ice concentration, melt pond fraction and presence of algae. Systems like PSITRES and the computer vision algorithms applied represent steps toward automatically observing, evaluating and analyzing ice and the environment around ships in ice-covered waters. Article in Journal/Newspaper Annals of Glaciology Arctic Sea ice Subarctic ice covered waters Directory of Open Access Journals: DOAJ Articles Arctic Annals of Glaciology 61 82 127 138 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
remote sensing stereo camera sea ice observer polar bears Arctic research vessel Meteorology. Climatology QC851-999 |
spellingShingle |
remote sensing stereo camera sea ice observer polar bears Arctic research vessel Meteorology. Climatology QC851-999 Scott Sorensen Vinit Veerendraveer Wayne Treible Andrew R. Mahoney Chandra Kambhamettu The polar sea ice topography reconstruction system |
topic_facet |
remote sensing stereo camera sea ice observer polar bears Arctic research vessel Meteorology. Climatology QC851-999 |
description |
The Polar Sea Ice Topography REconstruction System, or PSITRES, is a 3D camera system designed to continuously monitor an area of ice and water adjacent to an ice-going vessel. Camera systems aboard ships in the polar regions are common; however, the application of computer vision techniques to extract high-level information from the imagery is infrequent. Many of the existing systems are built for human involvement throughout the process and lack automation necessary for round the clock use. The PSITRES was designed with computer vision in mind. It can capture images continuously for days on end with limited oversight. We have applied the system in different ice observing scenarios. The PSITRES was deployed on three research expeditions in the Arctic and Subarctic, and we present applications in measuring ice concentration, melt pond fraction and presence of algae. Systems like PSITRES and the computer vision algorithms applied represent steps toward automatically observing, evaluating and analyzing ice and the environment around ships in ice-covered waters. |
format |
Article in Journal/Newspaper |
author |
Scott Sorensen Vinit Veerendraveer Wayne Treible Andrew R. Mahoney Chandra Kambhamettu |
author_facet |
Scott Sorensen Vinit Veerendraveer Wayne Treible Andrew R. Mahoney Chandra Kambhamettu |
author_sort |
Scott Sorensen |
title |
The polar sea ice topography reconstruction system |
title_short |
The polar sea ice topography reconstruction system |
title_full |
The polar sea ice topography reconstruction system |
title_fullStr |
The polar sea ice topography reconstruction system |
title_full_unstemmed |
The polar sea ice topography reconstruction system |
title_sort |
polar sea ice topography reconstruction system |
publisher |
Cambridge University Press |
publishDate |
2020 |
url |
https://doi.org/10.1017/aog.2020.21 https://doaj.org/article/566da4cebee94346acbe5a9ba4936d36 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Annals of Glaciology Arctic Sea ice Subarctic ice covered waters |
genre_facet |
Annals of Glaciology Arctic Sea ice Subarctic ice covered waters |
op_source |
Annals of Glaciology, Vol 61, Pp 127-138 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S026030552000021X/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2020.21 0260-3055 1727-5644 https://doaj.org/article/566da4cebee94346acbe5a9ba4936d36 |
op_doi |
https://doi.org/10.1017/aog.2020.21 |
container_title |
Annals of Glaciology |
container_volume |
61 |
container_issue |
82 |
container_start_page |
127 |
op_container_end_page |
138 |
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1766001212834971648 |