PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM

MAGSIC is an operation-oriented system in development dedicated to map-guided classification of sea ice for navigation route planning and meteorological modelling. It has already produced promising results in difficult situations such as the Gulf of Saint-Lawrence in late winter. The Canadian Ice Se...

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Main Author: David A. Clausi B
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.1471
http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.222.1471 2023-05-15T18:18:05+02:00 PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM David A. Clausi B The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.1471 http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.1471 http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf text ftciteseerx 2016-01-07T18:21:51Z MAGSIC is an operation-oriented system in development dedicated to map-guided classification of sea ice for navigation route planning and meteorological modelling. It has already produced promising results in difficult situations such as the Gulf of Saint-Lawrence in late winter. The Canadian Ice Service (CIS) produces ice maps made of large regions with relatively homogeneous concentrations of different ice types. MAGSIC uses the information of these maps to produce a pixel-based (rather than region-based) ice map by labelling a Markov random field (MRF) segmentation of RADARSAT-1 data along with its derived texture features. The system uses a novel implementation of MRF segmentation in combination with a unique labelling approach based on “cognitive reasoning”. Although reasonably successful, the system often had difficulties identifying ice type that required cues based on the shape recognition of large ice floes or leads. This article aims at thoroughly testing the MAGSIC system using validation data acquired during the “2003 Gulf of Saint-Lawrence SAR Validation Field Program ” performed by CIS. Some new features were also added to MAGSIC and were evaluated. Results suggest a reasonable success and that the errors can be partially attributed to the generalized nature of the analysts´interpretation and to the difficulties of obtaining concurring ground and image data. They suggest that classification metrics that can compare sample distributions were slightly superior for labelling purposes but this could not be confirmed statistically. RÉSUMÉ MAGSIC est un système à vocation opérationnel en développement dédié à la classification guidée de la glace de mer pour des Text Sea ice Unknown
institution Open Polar
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description MAGSIC is an operation-oriented system in development dedicated to map-guided classification of sea ice for navigation route planning and meteorological modelling. It has already produced promising results in difficult situations such as the Gulf of Saint-Lawrence in late winter. The Canadian Ice Service (CIS) produces ice maps made of large regions with relatively homogeneous concentrations of different ice types. MAGSIC uses the information of these maps to produce a pixel-based (rather than region-based) ice map by labelling a Markov random field (MRF) segmentation of RADARSAT-1 data along with its derived texture features. The system uses a novel implementation of MRF segmentation in combination with a unique labelling approach based on “cognitive reasoning”. Although reasonably successful, the system often had difficulties identifying ice type that required cues based on the shape recognition of large ice floes or leads. This article aims at thoroughly testing the MAGSIC system using validation data acquired during the “2003 Gulf of Saint-Lawrence SAR Validation Field Program ” performed by CIS. Some new features were also added to MAGSIC and were evaluated. Results suggest a reasonable success and that the errors can be partially attributed to the generalized nature of the analysts´interpretation and to the difficulties of obtaining concurring ground and image data. They suggest that classification metrics that can compare sample distributions were slightly superior for labelling purposes but this could not be confirmed statistically. RÉSUMÉ MAGSIC est un système à vocation opérationnel en développement dédié à la classification guidée de la glace de mer pour des
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author David A. Clausi B
spellingShingle David A. Clausi B
PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
author_facet David A. Clausi B
author_sort David A. Clausi B
title PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
title_short PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
title_full PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
title_fullStr PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
title_full_unstemmed PIXEL-BASED SEA ICE CLASSIFICATION USING THE MAGSIC SYSTEM
title_sort pixel-based sea ice classification using the magsic system
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.1471
http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf
genre Sea ice
genre_facet Sea ice
op_source http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.1471
http://www.isprs.org/proceedings/XXXVI/part7/PDF/082.pdf
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