At present, reconstruction of megapixel and high-fidelity images with few measurements is a major challenge for X-ray ghost imaging (XGI). The available strategies require massive measurements and reconstruct low-fidelity images of less than 300×300 pixels. Inspired by the concept of synthetic aperture radar, synthetic aperture XGI (SAXGI) integrated with compressive sensing is proposed to solve this problem with a binned detector in the object arm. Experimental results demonstrated that SAXGI can accurately reconstruct the 1200×1200 pixels image of a binary sample of tangled strands of tungsten fiber from 660 measurements. Accordingly, SAXGI is a promising solution for the practical application of XGI.