Big SAR data processing: Topographic and vegetation/land-use discovery for SAR data structurization

The big synthetic aperture radar (SAR) data era of earth observation depends more and more on deep learning and other data mining technologies. Since SAR data is coherent, differently from incoherent optical data, the use of complex-valued and/or quaternion neural networks is significantly important for successful applications. This keynote speech discusses the essence of neural information processing as well as the complex-valued / quaternion neural networks for topographic and vegetation/land-use discovery in the SAR data structurization.

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