Target Clustering in Three-Dimensional Ground Penetrating Radar Based on Time-Domain Phase Information and Complex-Valued Self-Organizing Map

We propose an adaptive subsurface three-dimensional visualization system based on a complex-valued self-organizing map (CSOM) to deal with time-domain phase information. Conventionally phase information of time domain is regarded as meaningless in radar processing. We think that amplitude information of time domain presents the position of targets and phase information depends on kinds of scatterers. In this paper, we show time-domain phase information is very valid for clustering of targets. We succeeded in clustering adaptively targets by employing complex-valued self-organizing map.

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