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...

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Bibliographic Details
Other Authors: WILLIAMS, RAYMOND (hasPrincipalInvestigator), WILLIAMS, RAYMOND (processor), Australian Antarctic Data Centre (publisher)
Format: Dataset
Language:unknown
Published: Australian Antarctic Data Centre
Subjects:
oceans
ICE EXTENT
EARTH SCIENCE
CRYOSPHERE
SEA ICE
remote sensing
SATELLITES
OCEAN &gt
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
East Antarctica
Southern Ocean
Antarc*
Antarctica
Sea ice
Online Access:https://researchdata.ands.org.au/analysis-remotely-sensed-an-expert/700271
https://data.aad.gov.au/metadata/records/ASAC_687
http://nla.gov.au/nla.party-617536
Description
Summary: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. XXXXXXXXXXXXX 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.

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