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In this paper, improvements on spatial resolution of the spatial shift multi-observation images are discussed. And a block of pixels-based artificial neural network is proposed for this purpose. This system makes full use of the spatial information to implement the superposition of multiple images. Its convergence and learning problems are also discussed. The effectiveness and the high performance of the proposed neural network are demonstrated by computer experiments, error calculation and comparison with other methods.