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