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    ARKTOS: An intelligent system for SAR sea ice image classification

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    Issue Date
    2004-01
    Author
    Soh, Leen-Kiat
    Tsatsoulis, Costas
    Gineris, Denise
    Bertoia, Cheryl
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Type
    Article
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    Abstract
    We present an intelligent system for satellite sea ice image analysis named Advanced Reasoning using Knowledge for T ping Of Sea ice (ARKTOS). ARKTOS performs fully automated analysis 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 graphical user interface-based knowledge engineering and modification. As a research project over the past ten years, ARKTOS has undergone phases such as knowledge acquisition, prototyping, refinement, evaluation, deployment, and operationalization at the U.S. National Ice Center. In this paper, we focus on the methodology, evaluations, and classification results of ARKTOS.
    Description
    ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI
    http://hdl.handle.net/1808/1283
    Collections
    • Electrical Engineering and Computer Science Scholarly Works [301]
    Citation
    Soh, LK; Tsatsoulis, C; Gineris, D; Bertoia, C. ARKTOS: An intelligent system for SAR sea ice image classification. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. January 2004. 42(1) : 229-248

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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