Narrow Results

In this paper a novel restoration algorithm based on iterative loops and data mining is proposed to restore the original object image from a few frames of aero-optics degraded images through the turbulence medium. Based on the iterative loops, the iterative mathematic models to estimate the random turbulent optical point spread functions and object image are built. A series of restoration experiments for both simulated and real aero-optics degraded images were performed to examine the proposed algorithm under a computerized simulation environment, which show that the proposed algorithm outperform previous algorithms and therefore is effective for practical applications.

Based on MTF optical system modeling and ZEMAX ray tracing system to simulate the original image. Setting up the actual optical path, established the MTF simulation model and ZEMAX simulation model according to the actual optical path, analysis to simulate image. Analysis the difference between the two kinds of modeling method on the image, and evaluate modeling methods. Appling two modeling methods to real remote sensing images to simulate the degraded images. The results show that, modeling based on ZEMAX ray tracing is more realistic to reflect the change in optical system on image, as a result, it's more suitable for remote sensing image simulation.