Abstract: The paper proposes an image fusion approach based on HSI transform and QPSO（Quantum-Behaved Particle Swarm Optimization） algorithms. The HSI transform method that used in the multi-spectral and panchromatic imagery fusion will miss much spectral information. In this paper，QPSO is used to find the best result in HSI. Because of the use of QPSO，the fused image is more relative with the multi-spectral and panchromatic imagery. And the experimental result shows that the method proposed in this paper performs a good efficiency and the result is better than the traditional HSI transforms.

摘要： 提出了一种基于HSI和QPSO（即基于量子行为的粒子群优化算法）的图像融合方法，HSI变换方法对多光谱图像和全色图像进行融合会丢失较多的光谱信息。利用QPSO算法来求解HSI变换中光谱强度分量的最优变换问题。由于采用了QPSO算法，使最后变换后的图像与多光谱图像和全色图像都有很强的相关性。实验表明，此方法所得到的融合图像优于传统HSI变换。