NR image quality assessment of satellite image

Image Quality Assessment has already drawn growing attentions due to its crucial role in different image processing applications. Among these satellite image processing methods, image quality assessment is quite important because images may contain many different types of noise like blur, radiated noise, stray light, et.al., which have a bad effect on the subsequent image processing. In this paper, we propose a new Indicator System to value the image quality aiming at solving the problem of satellite image assessment. In the procedure, we use the Support Vector Regression (SVR) machine as the decision algorithm to compute the score of the image quality.