Operational Evaluation of a Knowledge-Based Sea Ice Classification System

نویسندگان

  • Denise Gineris
  • Cheryl Bertoia
  • Mary Ruth Keller
  • LeenKiat Soh
  • Costas Tsatsoulis
چکیده

ARKTOS (Advanced Reasoning Using Knowledge for Typing of Sea Ice) is a fully automated intelligent sea ice classification system. ARKTOS is in use at the U.S. National Ice Center (NIC) for daily operations related to the NIC’S task of mapping the ice covered oceans. ARKTOS incorporates image processing, input from ancillary data, and artificial intelligence (AI) to analyze and classify RADARSAT Synthetic Aperture Radar (SAR) imagery. The NIC and Naval Research Laboratory (NRL/ERIM) have been testing and evaluating ARKTOS through the freezeup, winter, melt-out and summer seasons of the Beaufort Sea. In this paper we outline the development and evolution of ARKTOS, evaluate current output, and discuss future implementation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multisource Data and Knowledge Fusion for Intelligent SAR Sea Ice Classification

In this paper we describe the fusion of various data and knowledge sources for intelligent SAR sea ice classification, thereby addressing the weaknesses of each information source while improving the overall reasoning power of the classifier. We equip our ice classification system, ARKTOS, with the capability of analyzing and classifying images unsupervised by emulating how a human geophysicist...

متن کامل

ARKTOS: An Intelligent System for Satellite Sea Ice Image Analysis

We present an intelligent system for satellite sea ice image analysis named ARKTOS (Advanced Reasoning using Knowledge for Typing Of Sea ice). The underlying methodology of ARKTOS is to perform fully automated analysis of sea ice images by mimicking the reasoning process of sea ice experts and photo-interpreters. Hence, our approach is feature-based, rule-based classification supported by multi...

متن کامل

ARKTOS: A Knowledge Engineering Software Package for Satellite Sea Ice Classification

In this paper, we describe the knowledge engineering software package of our ARKTOS project. The ARKTOS project involves acquiring knowledge from sea ice experts as visual cues for sea ice features and classification rules and ultimately building an intelligent sea ice classifier. To assist in the knowledge acquisition, evaluation, and refinement phases, we have designed and built three Javabas...

متن کامل

Transition from Research to Operations: ARKTOS - A Knowledge-Based Sea Ice Classification System

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 we describe the process of taking a research project and transitioning it to an operational environment. We discuss the theoretical methodologies implemented in ARKT...

متن کامل

Arktos: a knowledge engineering software tool for images

The goal of our ARKTOS project is to build an intelligent knowledge-based system to classify satellite sea ice images. It involves acquiring knowledge from sea ice experts, quantifying such knowledge as computational entities, and ultimately building an intelligent classifier. In this paper we describe a two-stage knowledge engineering approach that facilitates explicit knowledge transfer, conv...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002