陈应霞 陈艳 刘丛 |《测绘学报（英文版）》（JGGS）精选论文

Journal of Geodesy and Geoinformation Science

构建与学术的桥梁        拉近与权威的距离

🔷Title l 题目

Joint AIHS and Particle Swarm Optimization for Pan-sharpening

🔷Citation l 引文格式

Yingxia CHEN,Yan CHEN,Cong LIU. Joint AIHS and Particle Swarm Optimization for Pan-sharpening[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(2): 105-113.DOI: 10.11947/ j.JGGS.2020.0211.

🔷Abstract l 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.

🔷Key words l 关键词

pan-sharpening; multispectral image; panchromatic image; AIHS transformation; particle swarm optimization; objective function

🔷Authors l 作者

Yingxia CHEN, Yan CHEN, Cong LIU

• Yingxia CHEN
  

陈应霞，男，1978.05生，毕业于华东师范大学，博士，长江大学讲师，研究方向为遥感图像处理。

• Yan CHEN
  

陈艳，女，1982.01生，硕士，长江大学，讲师。

• Cong LIU
  

刘丛，男，1983.08生，博士，上海理工大学，副教授。

🔷全文摘录如下

本文节选自JGGS 2020,Volume 3,Issue 2, p105-113.点击阅读原文即可下载。

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