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 intensit...

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Main Author: Yingxia CHEN,Yan CHEN,Cong LIU
Format: Article
Language:English
Published: Surveying and Mapping Press 2020-06-01
Series:Journal of Geodesy and Geoinformation Science
Subjects:
Online Access:http://jggs.sinomaps.com/fileup/2096-5990/PDF/1594177990737-1994300742.pdf
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author Yingxia CHEN,Yan CHEN,Cong LIU
author_facet Yingxia CHEN,Yan CHEN,Cong LIU
author_sort Yingxia CHEN,Yan CHEN,Cong LIU
collection DOAJ
description 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.
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spelling doaj.art-132786981768443e881382eed93364162022-12-21T17:50:14ZengSurveying and Mapping PressJournal of Geodesy and Geoinformation Science2096-59902020-06-013210511310.11947/j.JGGS.2020.0211Joint AIHS and Particle Swarm Optimization for Pan-sharpeningYingxia CHEN,Yan CHEN,Cong LIU01. Department of Computer Science, East China Normal University, Shanghai 200062, China;2. School of Computer Science, Yangtze University,Jingzhou 434023, China;3. School of Computer Science, University of Shanghai for Science and Technology, Shanghai 200082, ChinaPan-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.http://jggs.sinomaps.com/fileup/2096-5990/PDF/1594177990737-1994300742.pdf|pan-sharpening|multispectral image|panchromatic image|aihs transformation|particle swarm optimization|objective function
spellingShingle Yingxia CHEN,Yan CHEN,Cong LIU
Joint AIHS and Particle Swarm Optimization for Pan-sharpening
Journal of Geodesy and Geoinformation Science
|pan-sharpening|multispectral image|panchromatic image|aihs transformation|particle swarm optimization|objective function
title Joint AIHS and Particle Swarm Optimization for Pan-sharpening
title_full Joint AIHS and Particle Swarm Optimization for Pan-sharpening
title_fullStr Joint AIHS and Particle Swarm Optimization for Pan-sharpening
title_full_unstemmed Joint AIHS and Particle Swarm Optimization for Pan-sharpening
title_short Joint AIHS and Particle Swarm Optimization for Pan-sharpening
title_sort joint aihs and particle swarm optimization for pan sharpening
topic |pan-sharpening|multispectral image|panchromatic image|aihs transformation|particle swarm optimization|objective function
url http://jggs.sinomaps.com/fileup/2096-5990/PDF/1594177990737-1994300742.pdf
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