  In this paper, we propose a multi-RIS-aided wireless imaging framework in 3D
facing the distributed placement of multi-sensor networks. The system creates a
randomized reflection pattern by adjusting the RIS phase shift, enabling the
receiver to capture signals within the designated space of interest (SoI).
Firstly, a multi-RIS-aided linear imaging channel modeling is proposed. We
introduce a theoretical framework of computational imaging to recover the
signal strength distribution of the SOI. For the RIS-aided imaging system, the
impact of multiple parameters on the performance of the imaging system is
analyzed. The simulation results verify the correctness of the proposal.
Furthermore, we propose an amplitude-only imaging algorithm for the RIS-aided
imaging system to mitigate the problem of phase unpredictability. Finally, the
performance verification of the imaging algorithm is carried out by proof of
concept experiments under reasonable parameter settings.
