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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Zhang, Qin Skjetne, Roger Løset, Sveinung Marchenko, Aleksey |
| Copyright Year | 2012 |
| Abstract | Various types of remotely sensed data and imaging technology will aid the development of sea ice observation to support estimation of ice forces that are critical to Dynamic Positioning (DP) operations in Arctic waters. The use of cameras as sensors on mobile sensor platforms such as unmanned aerial vehicles in Arctic DP operations will be explored for measurements of ice statistics and ice properties. Several image processing algorithms are adopted to analyze ice concentration, ice floe boundaries, and ice types. The resulting image processing methods for ice observation, including a discussion of possibilities, limitations, and further improvements, are presented in this paper. |
| Sponsorship | Ocean, Offshore and Arctic Engineering Division |
| Starting Page | 555 |
| Ending Page | 561 |
| Page Count | 7 |
| File Format | |
| ISBN | 9780791844939 |
| DOI | 10.1115/OMAE2012-83860 |
| Volume Number | Volume 6: Materials Technology; Polar and Arctic Sciences and Technology; Petroleum Technology Symposium |
| Conference Proceedings | ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering |
| Language | English |
| Publisher Date | 2012-07-01 |
| Publisher Place | Rio de Janeiro, Brazil |
| Access Restriction | Subscribed |
| Subject Keyword | Water Image processing Ice mechanics Statistics as topic Ice Algorithms Arctic region Imaging Dynamic positioning systems Ice floes Unmanned aerial vehicles Sensors Sea ice |
| Content Type | Text |
| Resource Type | Article |
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