Advanced Neural Adaptive Processing in Interferometric and Polarimetric Radar Imaging

Posted:
14 Jun 2017
Authors:
Akira Hirose
Page/Slide Count:
Time:01:12:08
This talk presents and discusses advanced neural networks by focusing on complex valued neural networks CVNNs and their applications in the remote sensing and imaging fields. CVNNs are suitable for adaptive processing of complex amplitude information. Since active remote sensing deals with coherent electromagnetic wave we can expect CVNNs to work more effectively than conventional neural networks or other adaptive methods in real number space. Quaternion or Hypercomplex valued neural networks are also discussed in relation to polarization information processing. The beginning half of the Talk is devoted to presentation of the basic idea
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