A Three-Dimensional High-Resolution Imaging Method for Multi-Slit Streak Tube Based on Compressed Sensing

Compressed sensing theory addresses the limitations of traditional optical imaging systems and represents an innovative computational imaging approach with significant potential in spatial target imaging detection. Single-pixel imaging systems are a key application of compressed sensing, enabling the acquisition of two-dimensional images but lacking the capability for independent three-dimensional imaging. However, range image reconstruction is critical for lidar systems. This paper introduces a spatial modulation compressed sensing method based on a multi-slit streak tube laser imaging lidar system. Through simulation and experimental setup, we implement reconstruction algorithms to achieve intensity image reconstruction, while applying the distance slice method for range image reconstruction in the background and target regions. The results show that this method can successfully achieve three-dimensional image reconstruction, thereby advancing the development of non-scanning three-dimensional high-resolution imaging.