Presentation | 2015-03-16 Adaptive land classification by two-stage clustering in satellite-borne polarimetric synthetic aperture radar images Yuto TAKIZAWA, Shang FANG, Akira HIROSE, |
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Abstract(in English) | We have been investigating possible methods to extract useful information from full polarimetric observation data of synthetic aperture radar. We propose self-organizing adaptive classification based on the distribution and dispersion of Poincare sphere parameters representing the state of polarization by using a self-organizing map. We employ two-stage clustering to realize the classification. Experimental results demonstrate its capability of self-organizing and discovering classification dependent on the scattering features according to the land conditions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Self-organizing map / synthetic aperture radar / Stokes vector / subspace condition-product clustering |
Paper # | MBE2014-162,NC2014-113 |
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Committee | NC |
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Conference Date | 2015/3/9(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Adaptive land classification by two-stage clustering in satellite-borne polarimetric synthetic aperture radar images |
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Keyword(1) | Self-organizing map |
Keyword(2) | synthetic aperture radar |
Keyword(3) | Stokes vector |
Keyword(4) | subspace condition-product clustering |
1st Author's Name | Yuto TAKIZAWA |
1st Author's Affiliation | Department of Electrical Engineering and Information Systems, The University of Tokyo() |
2nd Author's Name | Shang FANG |
2nd Author's Affiliation | Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications |
3rd Author's Name | Akira HIROSE |
3rd Author's Affiliation | Department of Electrical Engineering and Information Systems, The University of Tokyo |
Date | 2015-03-16 |
Paper # | MBE2014-162,NC2014-113 |
Volume (vol) | vol.114 |
Number (no) | 515 |
Page | pp.pp.- |
#Pages | 6 |
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