Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The polar sea ice topography reconstruction system
Show others and affiliations
Responsible organisation
2020 (English)In: Annals of Glaciology, Vol. 61, no 82, p. 127-138Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Cambridge University Press , 2020. Vol. 61, no 82, p. 127-138
Keywords [en]
remote sensing, stereo camera, sea ice observer, polar bears, Arctic research vessel
National Category
Natural Sciences
Research subject
SWEDARCTIC 2013, OATRC 2013
Identifiers
URN: urn:nbn:se:polar:diva-8510DOI: 10.1017/aog.2020.21OAI: oai:DiVA.org:polar-8510DiVA, id: diva2:1517092
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2021-01-13

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 29 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf