中文摘要：

在多尺度通用传感器模型的框架下，通过结合Contourlet变换和隐马尔可夫树模型，对融合的Contourlet系数进行最大后验概率估计，建立了一种基于Contourlet域隐马尔可夫树模型的遥感影像融合方法．应用该方法和几种常用融合方法对SAR影像和多光谱影像进行实验和对比，结果表明，该方法在提高融合影像空间细节信息的同时，可以有效地保持多光谱影像的光谱信息．

英文摘要：

Under the multi-resolution universal sensor model, a remote sensing image fusion method based on Hidden Markov tree model was proposed by applying both Contourlet transform and hidden Markov tree model to gain the fused Contourlet coefficient by Maximum A Posteriori（MAP） estimation. Several commonly-used fusion methods were performed between SAR image and multi-spectral data. The fusion results were compared with that proposed in this paper. The experiment indicates that the spectral characteristics can be preserved effectively when the spatial resolution is enhanced.