We experimentally construct a polarimetric imaging architecture based on coherent lidar by using the frequency modulated continuous wave (FMCW) and the Risley prism beam steering technology for target identification. By combining coherent detection and multi-channel point cloud fusion, the proposed polarimetric imaging design is exploited to not only achieve the large-scale scene reconstruction in complex environments, but also distinguish the target from other objects with diverse structural materials or camouflage. An outdoor polarimetric imaging experiment which has an imaging scene of ±30° and an angular resolution of 0.1°, is also performed utilizing the proposed architecture. Furthermore, the structures with different polarization characteristics can be displayed by selecting different polarization parameter images, which greatly improves the information dimension of target identification. The polarimetric imaging architecture provides a multi-dimensional perception and open new opportunities for remote sensing, autonomous driving, and military reconnoitering.
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