| Presentation | 2017-10-05 Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks Hyunsoo Kim, Akira Hirose, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | polarimetric synthetic aperture radar (PolSAR) / unsupervised land classification / quaternion neural network / Poincare parameter / auto-encoder / self-organizing map (SOM) |
| Paper # | SANE2017-57 |
| Date of Issue | 2017-09-27 (SANE) |
| Conference Information | |
| Committee | SANE |
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| Conference Date | 2017/10/4(2days) |
| 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 |
| Chair | Sonosuke Fukushima(ENRI) |
| Vice Chair | Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT) |
| Secretary | Toshifumi Moriyama(Mitsubishi Electric) / Akitsugu Nadai(ENRI) |
| Assistant | Manabu Akita(Univ. of Electro-Comm.) / Ryo Natsuaki(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
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| Language | ENG-JTITLE |
| 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) |
| Date | 2017-10-05 |
| Paper # | SANE2017-57 |
| Volume (vol) | vol.117 |
| Number (no) | SANE-222 |
| Page | pp.pp.73-78(SANE), |
| #Pages | 6 |
| Date of Issue | 2017-09-27 (SANE) |