DocumentCode :
339434
Title :
Transition from research to operations: ARKTOS-a knowledge-based sea ice classification system
Author :
Bertoia, Cheryl ; Gineris, Denise ; Partington, Kim ; Soh, Leen-Kiat ; Tsatsoulis, Costas
Author_Institution :
U.S. Nat. Ice Center, Washington, DC, USA
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1573
Abstract :
ARKTOS is a fully automated intelligent system that classifies sea ice and that is now being used by the U.S. National Ice Center (NIC) for daily operations related to the NIC´s task of mapping the ice covered oceans. In this paper the authors describe the process of taking a research project and transitioning it to an operational environment. They discuss the theoretical methodologies implemented in ARKTOS, and how ARKTOS was developed, tested, and finally moved to operations
Keywords :
geophysical signal processing; geophysics computing; image classification; knowledge based systems; oceanographic techniques; radar imaging; remote sensing by radar; sea ice; synthetic aperture radar; ARKTOS; NIC; National Ice Center; SAR; artificial intelligence; automated intelligent system; image classification; knowledge-based method; mapping; measurement technique; ocean; operational system; radar imaging; radar remote sensing; reasoning; sea ice; sea ice type; synthetic aperture radar; theoretical method; Engines; Extraterrestrial measurements; Geophysical measurements; NASA; Oceans; Sea ice; Sea measurements; Sea surface; Shape measurement; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.772023
Filename :
772023
Link To Document :
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