Optical remote sensing image processing performance evaluating method

An optical remote sensing image processing performance evaluating method belongs to the optical remote sensing image processing and evaluating technical field; the method comprises the following steps: building an image objective evaluate index system for image gray scale, texture and edge information, and evaluating the processing performance of a processing algorithm on detail maintenance and sharpness enhancement; combining with a modulation transfer function (MTF) estimate method based on an edge image and a natural image, and using the MTF curve integration area to evaluate the whole lifting performance of the processing algorithm on each frequency band MTF; proposing an image signal to noise ratio (SNR) evaluate index and method, and evaluating the integral processing performance of the processing algorithm on detail maintenance enhancement and noise inhibition; providing a ringing and aliasing effect evaluate method, and evaluating the processing performance of the processing algorithm on pseudo image inhibition. The advantages are that the method is suitable for comprehensively and objectively evaluating the image restoration algorithmic performance advantages and disadvantages, thus guiding processing algorithm parameter optimization and model improvement.