In spatial remote-sensing observation to the earth, the optical system aperture of satellite is becoming larger and larger.
But, the larger aperture lead to the more limits constrained by manufacture costs and system loading. Optical sparse
aperture imaging systems are composed of several smaller sub-apertures which are arrayed in some rules. But, because
of the aperture of optical sparse aperture imaging system is just partial filling for the equivalent single large one, the
system point spread function could be a certain spread and the response to middle-and-low spatial frequency is reduced.
Consequently, the resolution of obtained images is blurred. So, the obtained images should be restored to improve image
resolution. This paper takes advantage of an optical sparse aperture system established in the laboratory, imaging on an
aviation remote-sensing negative, and then obtain the simulated optical sparse aperture remote-sensing images.
Resolution of simulated sparse aperture remote-sensing images is greatly increased through the method presented by this
paper, which incorporates the Laplacian factor in the increment Wiener filter. Through this image restoration process, the
limitation of system itself is well compensated. Experiment results show that algorithm of this paper is proper to many
kind of sparse system with different array structure and filling factor, the simulated remote-sensing images resolution and
SNR (Signal and Noise Ratio) could be improved greatly.