This project presents development of advanced imaging techniques, such as SAR and microwave tomography, for ground penetrating radar explosive detection using miniature lightweight radar devices that can be attached to Unmanned Aerial Vehicles (UAV). Microwave tomography gives additional information in terms of object shape and size and its dielectric permittivity but requires multiview measurements. We consider two cases, a single moving UAV carrying both the transmitter and the receiver (multi-monostatic mode) and two moving UAV carrying the transmitter and the receiver in a bistatic mode. Polarimetric properties will be also used to obtain better characterization of the underground objects. Machine learning techniques will be used to analyse radar data and to detect and classify buried objects.
Figure 1. Control system with a base station.
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