Joint AIHS and Particle Swarm Optimization for Pan-sharpening

Pan-sharpening is a process of obtaining a high spatial and spectral multispectral image ( HMS) by combining a low-resolution multispectral image ( LMS ) with a high-resolution panchromatic image ( PAN ) . In this paper, a pan-sharpening method called PAIHS is proposed, which is based on adaptive intensity-hue-saturation ( AIHS) transformation, variational pan-sharpening framework and the two fidelity hypotheses. The suitable objective function is established and optimized by adopting particle swarm optimization ( PSO) to obtain the optimal control parameters and minimum value. This value corresponds to the best pan-sharpening quality. The experimental results show that the proposed method has high efficiency and reliability, and the obtained performance index is superior to the four mainstream pan-sharpening methods.