Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles
The importance of measuring the size of ice floes in e.g. marine navigation and environmental sciences has made it a frequently performed procedure. When real-time data is required, images from a camera on-board an aerial vehicle or mounted on a marine vessel is commonly preferred over satellite ima...
Published in: | 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) |
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Online Access: | http://hdl.handle.net/11250/2470849 https://doi.org/10.1109/RED-UAS.2017.8101669 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2470849 2023-05-15T18:18:39+02:00 Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles Rodin, Christopher D Johansen, Tor Arne 2017 http://hdl.handle.net/11250/2470849 https://doi.org/10.1109/RED-UAS.2017.8101669 eng eng Institute of Electrical and Electronics Engineers (IEEE) 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Norges forskningsråd: 223254 EC/H2020/642153 urn:isbn:978-1-5386-0938-5 http://hdl.handle.net/11250/2470849 https://doi.org/10.1109/RED-UAS.2017.8101669 cristin:1525296 Chapter Peer reviewed 2017 ftntnutrondheimi https://doi.org/10.1109/RED-UAS.2017.8101669 2019-09-17T06:53:20Z The importance of measuring the size of ice floes in e.g. marine navigation and environmental sciences has made it a frequently performed procedure. When real-time data is required, images from a camera on-board an aerial vehicle or mounted on a marine vessel is commonly preferred over satellite images. Their lower fields of view can be improved by tilting the cameras to capture images of a larger area. However, this introduces a greatly changing ground resolution within the same camera image, which makes size estimation a more complex task. It is nevertheless performed in several methods to estimate the size of ice floes. In this paper, ice floe size estimation is evaluated for different scenarios when using an aerial camera at slant angles. In order to reduce errors caused by automatic image segmentation and attitude estimation algorithms, the methods are aided by human input. The estimates are performed on real world data captured during the Statoil Station Keeping Trials in the Bothnian Bay during March 2017. The results conclude that the major challenge is to guarantee separation between ice floes in the camera images, which is something that requires both enough ground resolution and a suitable image segmentation algorithm. acceptedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Book Part Sea ice NTNU Open Archive (Norwegian University of Science and Technology) Tilting ENVELOPE(-54.065,-54.065,49.700,49.700) 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) 216 221 |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
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ftntnutrondheimi |
language |
English |
description |
The importance of measuring the size of ice floes in e.g. marine navigation and environmental sciences has made it a frequently performed procedure. When real-time data is required, images from a camera on-board an aerial vehicle or mounted on a marine vessel is commonly preferred over satellite images. Their lower fields of view can be improved by tilting the cameras to capture images of a larger area. However, this introduces a greatly changing ground resolution within the same camera image, which makes size estimation a more complex task. It is nevertheless performed in several methods to estimate the size of ice floes. In this paper, ice floe size estimation is evaluated for different scenarios when using an aerial camera at slant angles. In order to reduce errors caused by automatic image segmentation and attitude estimation algorithms, the methods are aided by human input. The estimates are performed on real world data captured during the Statoil Station Keeping Trials in the Bothnian Bay during March 2017. The results conclude that the major challenge is to guarantee separation between ice floes in the camera images, which is something that requires both enough ground resolution and a suitable image segmentation algorithm. acceptedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
format |
Book Part |
author |
Rodin, Christopher D Johansen, Tor Arne |
spellingShingle |
Rodin, Christopher D Johansen, Tor Arne Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
author_facet |
Rodin, Christopher D Johansen, Tor Arne |
author_sort |
Rodin, Christopher D |
title |
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
title_short |
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
title_full |
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
title_fullStr |
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
title_full_unstemmed |
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles |
title_sort |
accuracy of sea ice floe size observation from an aerial camera at slant angles |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2017 |
url |
http://hdl.handle.net/11250/2470849 https://doi.org/10.1109/RED-UAS.2017.8101669 |
long_lat |
ENVELOPE(-54.065,-54.065,49.700,49.700) |
geographic |
Tilting |
geographic_facet |
Tilting |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Norges forskningsråd: 223254 EC/H2020/642153 urn:isbn:978-1-5386-0938-5 http://hdl.handle.net/11250/2470849 https://doi.org/10.1109/RED-UAS.2017.8101669 cristin:1525296 |
op_doi |
https://doi.org/10.1109/RED-UAS.2017.8101669 |
container_title |
2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) |
container_start_page |
216 |
op_container_end_page |
221 |
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1766195293722771456 |