With the development of the fourier ptychography in microscopy imaging, more and more researchers consider applying fourier ptychography in long-distance imaging. However being different from microscopic imaging, long distance fourier ptychographic imaging will face more challenges, one of which is the source image quality. In this manuscript, the influence of the source image quality on camera scanning FP imaging will be investigated and simulated. In the first part, the calibration aims to solve the influence of unevenly illumination. After that, a Poisson-Gaussian mixed noise model based denoising is used and could effectively suppresses the noise through parameter estimation. Finally, Phase correlation registration has to be used to correct the mismatch between adjacent images caused by camera scanning mode. The simulation results demonstrate the effectiveness of the preprocessing methods and could make FP more robust. The signal to noise ratio could reach to 40.5dB while obtained 5x improvement in resolution.