MTF与图像质量参数关系的建模研究

【作者】 杨元元；

【导师】 夏德深；

【作者基本信息】 南京理工大学 ， 计算机应用， 2004， 硕士

【摘要】 从卫星传回的遥感图像上获知卫星光学系统的评价指标MTF的变化情况，是卫星光学系统研制领域非常活跃的研究课题，对于在轨运行的卫星光学系统的监测遥控，以及后继卫星的研制，有着非常重要的意义。目前，研究集中在如何从卫星遥感图像上直接测量MTF，但该方法还有许多难点，使这一技术成为完全成熟的技术还有许多工作需要去做。因此，本文提出另外一种设想，建立图像的质量评价参数和光学系统指标MTF的数据关系模型，通过简单易行的计算在轨卫星的图像质量参数，根据已经建立的模型关系，直接推算出MTF。 本文首先理解理解MTF的原理，选择了合适的图像参数，并分别用数值关系和神经网络提出几种拟和数据模型的方法，对模型的正确性分别进行了检验，并给出了相应的结论。更多还原

【Abstract】 How to find the change degree of satellite optical system from remote sensing image is an active researching topic in the satellite optical system developing field. It is very important to supervise and control the on-obit satellite and develop the next generation satellite. Now the research focus on the measure MTF directly from remote sensing image through finding special ground object such as bridge, glacier, etc, fitting the line expend function, using .Fourier transform to get MTF. But how to rid of some disadvantages become the hotspots and difficulties. There are a lot of work to make the technique mature. We suppose an idea that building up a data relation model between image quality assessment parameters and optical system assessment parameter MTF. Through model we can use image quality assessment parameters to get MTF indirectly. These parameters can be calculated easily. We proposed some method to build up the model.Our work including: Understand the physical meaning of MTF, Select image quality assessment parameter , Curve fitting based on basic numeric analysis method, curve fitting based on Neural Network.. We bridled model first and then verify the model.更多还原