Matching confidence is an important measure to analyses the quality of image matching. For normalized edge magnitude cross correlation matching algorithm

the measure of matching confidence based on neural network is studied. The training samples used to train a BP network are the matching results with the reference image and several sensed images. The trained network can be adopted to measure matching confidence. Experimetal results with real satellite images and aerial images prove the effectiveness of the method.