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It is known that detecting small targets in remotely sensed image is difficult and challenging work. Filter neural network is designed to detect target which based morphological, structure element is used as network parameter, by competition and cooperation, network parameter is adjusted. Morphologic changed-weight neural network algorithm is used to realize small infrared target detection under complex background. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.