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Paper Abstract and Keywords
Presentation 2017-10-05 14:20
Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks
Hyunsoo Kim, Akira Hirose (Univ. of Tokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose an unsupervised adaptive PolSAR land classification system using quaternion neural networks. Most of the existing PolSAR land classification systems use a set of feature information that humans designed beforehand. However, such methods will face limitations in the near future when we expect classification into a large number of land categories recognizable to humans. By using quaternion auto-encoder, our proposed system extracts feature information based on the natural distribution of PolSAR features. Then, we show that the extracted features are classified by the quaternion SOM in an unsupervised manner. As a result, we can discover even new and more detailed land categories.
Keyword (in Japanese) (See Japanese page) 
(in English) polarimetric synthetic aperture radar (PolSAR) / unsupervised land classification / quaternion neural network / Poincare parameter / auto-encoder / self-organizing map (SOM) / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 222, SANE2017-57, pp. 73-78, Oct. 2017.
Paper # SANE2017-57 
Date of Issue 2017-09-27 (SANE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SANE  
Conference Date 2017-10-04 - 2017-10-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Maison franco - japonaise (Tokyo) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 14th workshop on subsurface electromagnetic measurement 
Paper Information
Registration To SANE 
Conference Code 2017-10-SANE 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks 
Sub Title (in English)  
Keyword(1) polarimetric synthetic aperture radar (PolSAR)  
Keyword(2) unsupervised land classification  
Keyword(3) quaternion neural network  
Keyword(4) Poincare parameter  
Keyword(5) auto-encoder  
Keyword(6) self-organizing map (SOM)  
1st Author's Name Hyunsoo Kim  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Akira Hirose  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Date Time 2017-10-05 14:20:00 
Presentation Time 25 
Registration for SANE 
Paper # IEICE-SANE2017-57 
Volume (vol) IEICE-117 
Number (no) no.222 
Page pp.73-78 
#Pages IEICE-6 
Date of Issue IEICE-SANE-2017-09-27 

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