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The use of remote sensing is necessary for monitor wide sea ice areas. However, since different scale sea ices often show similar geometrical shapes and patterns like fractal, it is not easy for unskilled people to interpret the conditions of sea ice from aerial photos or satellite images. Moreover,...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.472 http://www.isprs.org/proceedings/XXXVI/part6/123_XXXVI-part6.pdf |
| Summary: | The use of remote sensing is necessary for monitor wide sea ice areas. However, since different scale sea ices often show similar geometrical shapes and patterns like fractal, it is not easy for unskilled people to interpret the conditions of sea ice from aerial photos or satellite images. Moreover, the feature and name of sea ice changes as it grows. The sea ice types are defined in details. It is not easy for the beginners to identify each sea ice types at their field survey. In order to allow beginners to understand about the sea ice types and how the sea ice looks in different scales of remote sensing images, the authors have developed a sea ice image dataset called SIDE(Sea ice Image Data set for Education). SIDE allows users to understand various kinds of sea ice type with categorized descriptions and many color images. 1. |
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