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...

Full description

Bibliographic Details
Published in:Annals of Glaciology
Main Authors: Scott Sorensen, Vinit Veerendraveer, Wayne Treible, Andrew R. Mahoney, Chandra Kambhamettu
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2020
Subjects:
Online Access:https://doi.org/10.1017/aog.2020.21
https://doaj.org/article/566da4cebee94346acbe5a9ba4936d36
id ftdoajarticles:oai:doaj.org/article:566da4cebee94346acbe5a9ba4936d36
record_format openpolar
spelling 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
_version_ 1766001212834971648