  Ghost imaging needs massive measurements to obtain an image with good
visibility and the imaging speed is usually very low. In order to realize
real-time high-resolution ghost imaging of a target which is located in a
scenario with a large field of view (FOV), we propose a high-speed
multi-resolution progressive computational ghost imaging approach. The target
area is firstly locked by a low-resolution image with a small number of
measurements, then high-resolution imaging of the target can be obtained by
only modulating the light fields corresponding to the target area. The
experiments verify the feasibility of the approach. The influence of detection
signal-to-noise ratio on the quality of multi-resolution progressive
computational ghost imaging is also investigated experimentally. This approach
may be applied to some practical application scenarios such as ground-to-air or
air-to-air imaging with a large FOV.
