DocumentCode :
314789
Title :
Automated forest inventory update with SEIDAM
Author :
Goodenough, David G. ; Charlebois, Daniel ; Bhogal, A. S Pal ; Matwin, Stan ; Daley, Nigel
Volume :
2
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
670
Abstract :
As part of the Applied Information Systems Research Program sponsored by NASA, a System of Experts for Intelligent Data Management, SEIDAM, has been created. As a component of SEIDAM, a case-based reasoning system called PALERMO was developed in order to reason about the process of digital forest inventory update. SEIDAM uses a set of software agents that carry out tasks such as translate point elevation data into a digital terrain model or import polygonal information from a geographical information file into an image format or ingest remote sensing data and update meta data databases. In this paper the authors discuss the new agents that were created for automatic classification and the ease with which they were added to the SEIDAM environment
Keywords :
case-based reasoning; forestry; geographic information systems; geophysical signal processing; geophysical techniques; geophysics computing; image classification; remote sensing; software agents; Applied Information Systems Research Program; GIS; PALERMO; SEIDAM; System of Experts for Intelligent Data Management; artificial intelligence; automated forest inventory; automatic classification; case-based reasoning system; forestry; geographic information system; geophysical measurement technique; geophysics computing; image classification; image processing; land surface; remote sensing image processing; software agent; terrain mapping; vegetation mapping; Computer science; Database systems; Forestry; Geographic Information Systems; Intelligent agent; Inventory management; Management information systems; Remote sensing; Resource management; Software agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615219
Filename :
615219
Link To Document :
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