Research on evaluation models of satellite image blur

In order to realize an objective evaluation on image quality in the application of image matching guidance,and aiming to the blur effect of satellite image,this paper researched into the clarity evaluation parameters which affected the quality of image.And picked certain effective parameters through analyzing and comparing the effects they exerted on image matching process.After taking the statistics of massive experiment datum into consideration,and referring to linear recursive analysis,this paper proposed a weights fitting method based on hypothesis test,and accomplished the calculation of the weights of relative parameters.Then set up an image quality evaluation model aiming at matching guidance.The tests show that this model is robust and of probabilistic monotonicity,and is meaningful in improving the evaluation of image quality in matching area,therefore this model is practical in ensuring the satellite image quality.