Optical image quality grading assessment orienting to surveying & mapping mission requirements
面向测绘任务的光学遥感影像质量分级评定

The optical image grading method is of interest for surveying & mapping satellite data users.For the scale, re- solution, signal-to-noise ratio, modulation Transfer function(MTF) cannot clearly reflect the mapping application capacity of the image. In this paper, we propose an image quality grading method based on characteristic features, which are usable in a the stereoscopic environment. Based on the psychological principles of physics, learn national image interpretability rating scales (NIIRS) criterion generation step, a psychophysical test is designed and implemented in the stereoscopic environment,characteristic features that is labeled in the topographic map specification are selected as candidate criterion,and aviation and aerospace stereo images are selected to build sample database,32 operaters take part in test,and a grading specification composed by the stereo pair, mapping criteria and scores is generated.