Analysis of Remotely Sensed Sea Ice Images Using an Expert System
From the abstract of some of the referenced papers:
An expert system is being developed which will apply knowledge-based techniques to the automated interpretation of remotely sensed sea-ice images taken over East Antarctica by the NOAA series of meteorological satellites. It is capable of accepting satellite images, deriving characteristic features from them and then performing knowledge-based reasoning to identify regions of cloud, land, open water and various categories of sea-ice.
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This paper describes the system design of SPARTEX, a system developed to use information from remote sensing and geographic information systems linked to expert systems. It aims to automate the process of classifying information about the actual or potential use of part of the earth's surface.
See the link below for public details on this project.
Données et ressources
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Public information for ASAC project 687HTML Ouvrir
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Download point for the research publications - AAD Staff OnlyHTML Ouvrir
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Citation reference for this metadata record and datasetHTML Ouvrir
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PNG Ouvrir
Informations supplémentaires
| Étendue temporelle | 1993-09-30 – 1995-03-31 |
|---|---|
| Date (publication) | 2000-11-01 |
| Statut | completed |
| Fréquence de mise à jour | asNeeded |
| Langue des métadonnées | en |
| Licence | This metadata record is publicly available. |
| Métadonnées sources | ISO 19115 XML |
| Dernière mise à jour | 2026-11-05 |
| Créé | 2026-11-05 |
| API | package_show |