黄登山, 杨敏华, 胥海威, 姚学恒. 利用最优估计理论进行多光谱与全色影像融合[J]. 武汉大学学报 ( 信息科学版), 2011, 36(9): 1039-1042.
引用本文: 黄登山, 杨敏华, 胥海威, 姚学恒. 利用最优估计理论进行多光谱与全色影像融合[J]. 武汉大学学报 ( 信息科学版), 2011, 36(9): 1039-1042.
HUANG Dengshan, YANG Minhua, XU Haiwei, YAO Xueheng. Fusion of Multi-spectral and Panchromatic Images Using Optimal Estimation Theory[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1039-1042.
Citation: HUANG Dengshan, YANG Minhua, XU Haiwei, YAO Xueheng. Fusion of Multi-spectral and Panchromatic Images Using Optimal Estimation Theory[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1039-1042.

利用最优估计理论进行多光谱与全色影像融合

Fusion of Multi-spectral and Panchromatic Images Using Optimal Estimation Theory

  • 摘要: 应用小波变换分解遥感影像,利用遥感影像自身的先验信息——空间分辨率确定高频域融合过程中的权值,使用最小二乘估计与小波重构完成影像融合。实验结果表明,相对于参考的其他融合方法,此方法在注入全色影像空间细节和保持多光谱影像的光谱信息方面性能更佳。

     

    Abstract: Considering panchromatic image and multi-spectral images contain different spectral information and same spatial information with different observation accuracy,thus the optimal spatial component information could be estimated.A new image fusion method is proposed based on least-squares estimation theory and wavelet transformation.After the remote sensing images are decomposed by wavelet transform,the method uses the prior information of remote sensing image: the ratio of spatial resolution to determine the weights in the images fusion.Image fusion is completed by the least squares theory and wavelet reconstruction finally.Compared with the previous methods that spatial information of multi-spectral images is replaced completely or additive model,it is more accurate and robust.Two data sets are used to evaluate the proposed fusion method,QuickBird multi-spectral images and panchromatic image,TM multi-spectral images and SPOT panchromatic image.The fusion results are evaluated visually and statistically.The evaluation shows that relative to the other fusion method based on wavelet transform,the proposed method achieves the best fusion images in obtaining high spatial resolution of panchromatic image and preserving spectral properties of multi-spectral images.

     

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