PolSAR land classification by using quaternion-valued neural networks

Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013

Volumn , Issue , 2013, Pages 593-596

  Shang, Fang ^a   Hirose, Akira ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84894198196     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. F. D. Fabio, P. Andrea et al, "Neural Networks for Oil Spill Detection Using ERS-SAR Data", IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 5,pp.2282-2287, 2000.
3. F. Shang, A. Hirose, "Use of Poincare sphere parameters for fast supervised PolSAR land classification", Proc. IGARSS 2013, to be presented.
4. A. Hirose, Complex-valued neural networks, 2-nd edition, Springer, Heidelberg, New York, Dordrecht, London, pp.76-81, 2012.
5. T. Hara, A. Hirose, "Plastic mine detection radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images", Neural Networks, Vol. 17, pp.1201-1210, 2004. (Pubitemid 39539537)
6. N. Matsui, T. Isokawa et al, "Quaternion neural network with geometrical operators", Journal of Intelligent and Fuzzy Systems, Vol. 15, pp.149-164, 2004. (Pubitemid 40173749)