Joint AIHS and particle swarm optimization for Pan-sharpening

doi:10.11947/j.AGCS.2019.20180509

Abstract

Abstract: 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. It is based on adaptive intensity-hue-saturation (AIHS) transformation, variational Pan-sharpening framework and two assumptions:①pan-sharpened image and original multispectral image (MS) have the same spectral information; ②pan-sharpened image and PAN image contain the same geometric information. The suitable objective function was established, and optimized by particle swarm optimization (PSO) to obtain the optimal control parameters and minimum value, which 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 also better than some of the current mainstream fusion methods.

Key words: Pan-sharpening, multispectral image, panchromatic image, AIHS transformation, particle swarm optimization, objective function

CLC Number:

P237

CHEN Yingxia, CHEN Yan, LIU Cong. Joint AIHS and particle swarm optimization for Pan-sharpening[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(10): 1296-1304.

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