| The quality of remote sensing image is the design of a remote sensing system is reasonable, or whether the orbiting a normal one of the most important evaluation criterion. High resolution optical remote sensor is not only need according to the task when developing through the forecast evaluation of image quality optimization design the parameters of the sensor, and remote sensor during orbit, but also needs to be monitored continuously by different technology means on-orbit operation state and adjust the relevant parameters, in order to achieve the purpose of the best image quality. In recent years, with the objective image quality evaluation method applied increasingly widespread, through the remote sensor on-orbit imaging quality analysis to adjust the orbit parameters also become a viable technology to in-orbit testing.This paper studies the work and achievements include the following aspects:(1) Discuss the remote sensing satellite engineering simulation tools commonly used, and a detailed analysis of two computer simulation models for the optical remote sensing satellites. According to the mathematical model and the corresponding simulation system development, simulation of the impact of the quality of the optical remote sensing satellite imaging five more significant in-orbit parameters:focal length, integral series, pitch rate, yaw rate and roll rate.(2) To explore the remote sensing image quality quantitative evaluation of11evaluation parameters and the physical meaning of each parameter are described. Development of the corresponding batch image quality evaluation software, the image quality evaluation simulation constructed experimental database.(3) According to the theory of mathematical modeling of the experimental data were normally distributed test and correlation data were analyzed quantitatively screened with each remote sensor on-orbit parameters of a strong correlation between image quality evaluation parameters.(4) By regression analysis of screening data, the establishment of a single image quality evaluation parameters and remote sensors track the relationship between the parameters of the model, and each of the relational models quantitatively test analysis. Then using principal component analysis method to extract the principal component screened image quality assessment parameters constitute the corresponding integrated quality evaluation, and established a comprehensive quality evaluation of remote sensing images and remote sensors track the relationship between the parameters of the model the results were analyzed and tested model. The results show that the model established in the paper reflects the variation of good experimental data can be used for the inversion of optical remote sensor on-orbit imaging parameters, so as remote sensors in orbit parameter optimization and provides an alternative method of monitoring in orbit way. |
