Ghost Image via Sparsity Constraints(GISC) lidar is a novel image lidar system which combines the light field coherence theory and modern information theory. The field of view(FOV) of GISC lidar is independent from its image resolution, and can obtain high resolution image of moving targets with a large FOV. While flash imaging lidar divides the intensity of target image into many small pixels of array charge-coupled device(CCD) camera on the imaging plane, GISC lidar uses a single pixel detector without spatial resolution to collect the entire reflective light intensity, which can greatly increase its detection sensitivity. Besides, based on various sparsity constraints of the target, GISC lidar can greatly improve imaging speed with much less samples compared to Nyquist Sampling requirement. Current development of GISC lidar based on the research experience of SIOM was introduced. Finally, the topics which need further investigation to improve the performance of GISC lidar in real application were also presented.