Presentation 2001/6/21
Drift-ice recognition using neural network
Satoru Tadokoro, Minoru Fukumi, Norio Akamatsu,
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Abstract(in English) In recent years, in connection with the improvement in remote-sensing technology using the artificial satellite, regions on the surface of the earth can be broadly observed. The sensors loaded in the artificial satellite can be divided roughly into an optical sensor and a microwave sensor. As a characteristic of the microwave sensor used by this research, the state of surface of the earth can be observed in detail, without being influenced by cloud and moisture in the atmosphere. However, compared with images obtained from the optical sensor, there is the characteristic in which the amount of information is low. In this research, the validity of drift-ice detection is verified only by using the information on the synthetic aperture radar which is the microwave sensor.
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Keyword(in English) neural network / remote-sensing / SAR / drift-ice recognition
Paper # NC2001-17
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Conference Information
Committee NC
Conference Date 2001/6/21(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Drift-ice recognition using neural network
Sub Title (in English)
Keyword(1) neural network
Keyword(2) remote-sensing
Keyword(3) SAR
Keyword(4) drift-ice recognition
1st Author's Name Satoru Tadokoro
1st Author's Affiliation Dept. of Information Science and Intelligent Systems, University of Tokushima()
2nd Author's Name Minoru Fukumi
2nd Author's Affiliation Dept. of Information Science and Intelligent Systems, University of Tokushima
3rd Author's Name Norio Akamatsu
3rd Author's Affiliation Dept. of Information Science and Intelligent Systems, University of Tokushima
Date 2001/6/21
Paper # NC2001-17
Volume (vol) vol.101
Number (no) 153
Page pp.pp.-
#Pages 6
Date of Issue