Knowledge-based segmentation of sonar data |
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| Affiliation: | 1. LIVE, Université de la Nouvelle Calédonie, BPR4, 98851 Nouméa Cedex, France;2. Total SA, CSTJF, Avenue Larribau, 64000 Pau, France;3. ISTO-CNRS, Université d''Orléans, 1A rue de la Ferollerie, 45071 Orleans Cedex 2, France;1. The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;2. Department of Pulmonary and Critical Care Medicine, Einstein Medical Center, Philadelphia, Pennsylvania. |
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| Abstract: | Work is described that forms part of a project the aim of which is to develop a fully automated knowledge-based system capable of interpreting passive sonar data. In particular, the task of transforming (raw) signal data to symbolic data has been approached from the viewpoint of developing a knowledge-based vision system that mimics the performance of operators when analysing noisy ‘chart’ recordings for significant events. |
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