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遥感技术与应用  2020, Vol. 35 Issue (4): 893-900    DOI: 10.11873/j.issn.1004-0323.2020.4.0893
数据与图像处理     
基于改进Brovey变换的ALI影像融合算法研究
林志垒1,2(),张贵成1,2
1.福建师范大学 地理科学学院,福建 福州 350007
2.福建师范大学 福建省陆地灾害监测评估工程技术研究中心,福建 福州 350007
Research on ALI Image Fusion Algorithm based on Improved Brovey Transform
Zhilei Lin1,2(),Guicheng Zhang1,2
1.School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
2.Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fujian Normal University, Fuzhou 350007, China
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摘要:

针对传统Brovey变换(Brovey Transform,BT)融合存在的光谱信息丢失及光谱扭曲等问题,引入自适应加权平均对其进行改进,并以EO-1 ALI多光谱影像为例,提出一种新的基于改进BT的多光谱影像融合算法。并分别选用信息熵、平均梯度、相关系数、均方根误差等参数对影像融合效果进行综合评价与对比分析,从而验证该算法的有效性和优越性。结果显示:采用改进后的BT融合算法的多光谱融合影像具有较好的光谱信息和空间分辨率,其视觉效果和空间纹理特征都有显著改善,并且较好地延续了源影像的色彩信息,亮度相对适中;能减少融合过程中光谱信息的损失和畸变,在保持光谱信息和清晰度方面与传统BT融合算法相比具有明显优势。

关键词: 多光谱影像数据融合Brovey变换EO?1    
Abstract:

Aiming at the problems of spectral information loss and spectral distortion in traditional Brovey Transform (BT) fusion, the adaptive weighted average is introduced to improve it. Taking EO-1 ALI multispectral imagery as an example, a new multispectral image fusion algorithm based on improved BT is proposed. Information entropy, average gradient, correlation coefficient and root mean square error are used to comprehensively evaluate and compare the fusion effects of this algorithm, so as to verify the effectiveness and superiority of the multispectral image fusion algorithm based on improved BT. Experimental results show the multispectral fusion image using this improved algorithm has better spectral information and spatial resolution, and its visual effects and spatial texture features have been significantly improved, and the color information of the source image has been well extended, and the brightness is relatively moderate; this improved algorithm can reduce the loss and distortion of spectral information in the fusion process, and has obvious advantages in maintaining spectral information and clarity compared with the traditional BT fusion method.

Key words: Multispectral imagery    Data fusion    Brovey Transform    EO-1
收稿日期: 2019-04-22 出版日期: 2020-09-15
ZTFLH:  TP751.1  
基金资助: 国家重点研发计划项目(2016YFC0502901);福建省自然科学基金项目(2017J01463)
作者简介: 林志垒(1976-),女,福建长乐人,博士,副教授,主要从事遥感原理与应用研究。E?mail: zllin99@163.com
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引用本文:

林志垒,张贵成. 基于改进Brovey变换的ALI影像融合算法研究[J]. 遥感技术与应用, 2020, 35(4): 893-900.

Zhilei Lin,Guicheng Zhang. Research on ALI Image Fusion Algorithm based on Improved Brovey Transform. Remote Sensing Technology and Application, 2020, 35(4): 893-900.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2020.4.0893        http://www.rsta.ac.cn/CN/Y2020/V35/I4/893

图1  ALI实验数据影像
图2  实验区融合结果(RGB:9/6/5)
图3  实验区融合结果局部细节(RGB:9/6/5)
信息熵平均梯度相关系数均方根误差偏差指数运算时间
数值排名数值排名数值排名数值排名数值排名数值/s排名
多光谱源影像3.423.23
传统BT融合4.744.650.8331.040.402.34
改进BT融合4.954.710.9211.430.193.56
HSV融合3.574.270.8519.860.354.57
Pansharp融合4.914.850.8421.450.387.32
表1  实验区影像融合定量评价结果
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