Recent Progress in Adaptive Sar Data Structurization in Complex and Hypercomplex Domain

Synthetic aperture radar (SAR) data is one of the biggest data in the present sensor network and artificial intelligence (AI) era. It is necessary to structurize them in big data framework. In this paper, we present the overview on this concept as well as a complex-valued convolutional neural network to extract small volcanoes (Omuroyama's) in interferometric SAR (In-SAR). The system discovers similar land shape areas and related features through its learning process.