【图像融合】一种基于粒子群优化的自适应多光谱图像融合附matlab代码及论文

1 简介

In this paper, a novel image fusion method for remote sensing applications is proposed. In order to estimate the primitive detail map, the band coefficients of multispectral images are computed using least squares method. To refine the detail map and better image fusion, an adaptive method is proposed to compute the weights of linear combinations of panchromatic (Pan) and multispectral (MS) gradients. The injected weights are calculated using particle swarm optimization (PSO). Two data sets obtained by WorldView-3 and QuickBird satellites are employed for testing the assessment and comparing with state-of-art methods.

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