ARKTOS: An intelligent system for SAR sea ice image classification

We present an intelligent system for satellite sea ice image analysis named ARKTOS (Advanced Reasoning using Knowledge for Typing Of Sea ice). ARKTOS performs fully automated analy-sis of Synthetic Aperture Radar (SAR) sea ice images by mimicking the reasoning process of sea ice experts. ARKTOS auto...

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Bibliographic Details
Main Authors: Leen-kiat Soh, Costas Tsatsoulis, Denise Gineris, Cheryl Bertoia
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2004
Subjects:
Sea ice
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.6778
http://www.ittc.ku.edu/publications/documents/Soh2004_IEEE_TGRS.pdf
Description
Summary:We present an intelligent system for satellite sea ice image analysis named ARKTOS (Advanced Reasoning using Knowledge for Typing Of Sea ice). ARKTOS performs fully automated analy-sis of Synthetic Aperture Radar (SAR) sea ice images by mimicking the reasoning process of sea ice experts. ARKTOS automatically segments a SAR image of sea ice, generates descriptors for the segments of the image, and then uses expert system rules to classify these sea ice features. ARKTOS also utilizes multisource data fusion to improve classification and performs belief handling using Dempster-Shafer. As a software package, ARKTOS comprises components in image processing, rule-based classification, multisource data fusion, and GUI-based knowledge engineering and modification. As a research project over the past 10 years, ARKTOS has un-dergone phases such as knowledge acquisition, prototyping, refinement, evaluation and deploy-ment, and finally operationalization at the U.S. National Ice Center (NIC). In this paper we fo-cus on the methodology, evaluations, and classification results of ARKTOS. I.

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