Joint AIHS and Particle Swarm Optimization for Pan-sharpening

作者：Yingxia CHEN,Yan CHEN,Cong LIU

摘要：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.

發文機構：Department of Computer Science School of Computer Science School of Computer Science

關鍵詞：pan-sharpeningmultispectralimagepanchromaticimageAIHStransformationparticleswarmoptimizationobjectivefunction

分類號： TP3[自動化與計算機技術—計算機科學與技術]