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Satellite image enhancement suffers from edge localization and distortion of detail. A novel satellite image enhancement is presented which enhance the edge detail as well as a quality of low-resolution satellite images. In the proposed approach, we improve and preserve the edge detail of a significant region using particle swarm optimization and fuzzy logic in the high spectral region. Further, the fusion of detail images is performed to conquer the limitation of intensity distortion and over saturation in the region using an estimation of weights. The magnitude of weights is estimated by fuzzy membership functions to extract optimal spectral information. The measure of enhancement and contrast assessment function criterion are used to examine the performance of proposed method in comparison with other two recent techniques.