计算机工程 ›› 2007, Vol. 33 ›› Issue (21): 169-171.doi: 10.3969/j.issn.1000-3428.2007.21.060

• 人工智能及识别技术 • 上一篇    下一篇

基于NMF的多光谱图像和全色图像融合方法

颜建军,夏春明,郑建荣   

  1. (华东理工大学机械电子工程研究室,上海 200237)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-05 发布日期:2007-11-05

Multi-spectral Image and Panchromatic Image Fusion Method Based on Non-negative Matrix Factorization

YAN Jian-jun, XIA Chun-ming, ZHENG Jian-rong   

  1. (Centre for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-05 Published:2007-11-05

摘要: 提出了一种基于非负矩阵分解的多光谱图像与全色图像的融合算法。在非负矩阵分解过程中,将低分辨率的多光谱图像和高分辨率的全色图像作为原始数据,非负矩阵分解得到的特征基包含了原始图像的整体特征,将高分辨率图像与分解得到的特征基中的第一特征基作直方图匹配,并代替第一特征基。利用特征基进行重构,得到具有较高的空间分辨率和保持原有多光谱图像的光谱信息的融合图像。主观视觉效果分析和客观统计参数评价分析表明,基于非负矩阵分解的图像融合方法在性能上优于传统的其他融合方法。

关键词: 图像融合, 非负矩阵分解, 特征基

Abstract: A new method based on non-negative matrix factorization (NMF) technique is presented for multi-spectral image and panchromatic image fusion. Low resolution multi-spectral image and high resolution panchromatic image are taken as source data in NMF analysis , from which feature bases containing global features of the original images can be extracted. The first feature base is replaced by the adjusted panchromatic image, which is histogram matched to the raw first feature base. Inverse transform (reconstruction) is performed and the fusion image with higher spatial resolution and spectral component is obtained. Visual results and statistical indexes demonstrate the advantage of the proposed NMF-based image fusion method compared to common fusion approaches.

Key words: image fusion, non-negative matrix factorization, feature base

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