Featured Application Space target surveillance is a significant part of space defense, and is also important for maintaining national security. Imaging of the space targets is the direct method used to realize space target recognition. However, for long-range space targets, such as middle-and-high altitude Earth satellites and space debris above 10,000 km, the resolution of the imaging system is required to reach the milliarcsecond (mas) scale to obtain clear images. Because of the limitations of telescope apertures, it is difficult for traditional wavefront imaging to satisfy this requirement. In addition, the amplitude interferometer requires high accuracy from the instrument, which makes it difficult to achieve a long baseline. The proposed ptychographic imaging correlography removes the need to measure the phase information of the object. The ptychographic phase retrieval algorithm is applied to restore the phase data to realize target reconstruction. This has the advantages of low equipment accuracy and insensitivity to atmospheric turbulence. Therefore, the proposed method in this work has great prospects in long-range imaging systems. Abstract Imaging correlography, an effective method for long-distance imaging, recovers an object using only the knowledge of the Fourier modulus, without needing phase information. It is not sensitive to atmospheric turbulence or optical imperfections. However, the unreliability of traditional phase retrieval algorithms in imaging correlography has hindered their development. In this work, we join imaging correlography and ptychography together to overcome such obstacles. Instead of detecting the whole object, the object is measured part-by-part with a probe moving in a ptychographic way. A flexible optimization framework is proposed to reconstruct the object rapidly and reliably within a few iterations. In addition, novel image space denoising regularization is plugged into the loss function to reduce the effects of input noise and improve the perceptual quality of the recovered image. Experiments demonstrate that four-fold resolution gains are achievable for the proposed imaging method. We can obtain satisfactory results for both visual and quantitative metrics with one-sixth of the measurements in the conventional imaging correlography. Therefore, the proposed imaging technique is more suitable for long-range practical applications.