Coded aperture compressive snapshot imaging for moving objects location

As an outstanding method of rapid measurement, called coded aperture compressive snapshot imaging of moving target shows the unique advantages in overcoming the problem of quickly position of high-speed targets. This technology adopts an advanced coded aperture modulation designing strategy, which allows that the capture of high resolution and multiframes moving target images can complete in a single exposure imaging process. That greatly improves the imaging system's ability to capture high-speed targets, also compressive sensing (CS) can improve the performance depending on the advantage of high-resolution recovered from the subsampling. Furthermore, that benefits the precise object identification. This paper proposed a coded aperture compressive snapshot imaging (CACNSI) model for moving target based on the CS sampling theory. That also constructs the optical prototype, which uses the coded aperture to modulate the moving scene and detects modulation of multi-frame in a snapshot, and the high-resolution multiple frames can be reconstructed using CS algorithm. The model is validated by the simulation experiment. Through experimental data, it is confirmed that the mathematical model has outstanding performance in reducing noise, enhancing image sparsity features, and improving imaging quality. Further experimental results show that the CS method can significantly improve the tracking accuracy of high-speed moving targets and strengthen the target localization and recognition capabilities. In summary, the mathematical model of single exposure imaging of encoded aperture moving targets is not only innovative in theory, but also proves in practice that it has a significant contribution to the improvement of imaging quality in complex dynamic scenes.