Target recognition of aircraft based on moment invariants and BP neural network

Computer vision is trying to build up an artificial intelligence system to obtain information from image or multidimensional data, target recognition of Computer Vision is one of an important research area. This paper studies how to realize recognition the suspected target area in remote sensing image after a series of pre-processing. Remove the interference area and leave suspended target area in the image by contour tracing method; normalizing moment invariants of aircraft by extracting them from sample, then training the BP neural network for the purpose of recognizing the suspected area in remote sensing image. We have got available recognition results which comply with the identification requirements with this experiment.