Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification
Manuscript version, link to publishers version: http://doi.org/10.1109/ISIE.2017.8001490 In modern data analysis it is imperative to use well maintained data sources with curated content. This publication gives an approach for research areas, where there is no such central facility. The specific are...
| Published in: | 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) |
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| Main Authors: | , , |
| Format: | Book |
| Language: | English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10037/11903 https://doi.org/10.1109/ISIE.2017.8001490 |
| Summary: | Manuscript version, link to publishers version: http://doi.org/10.1109/ISIE.2017.8001490 In modern data analysis it is imperative to use well maintained data sources with curated content. This publication gives an approach for research areas, where there is no such central facility. The specific area used here is sea ice classification from images. The publication is split into two parts. The first part describes the integration of discontinuous sources for different aspects of data needed. The second part describes a simple approach for getting the sea ice concentration from images taken by an ice breaker. The classification is based on the above mentioned multi-source data. We can illustrate that it is possible to combine data from various sources to a central repository and use this repository to obtain the sea ice concentration from images without using any other inputs. |
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