Multispectral and panchromatic image fusion based on improved bilateral filter
Multispectral and panchromatic image fusion based on improved bilateral filter
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DOI：
10.1117/1.3616010
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发表时间：
2011
影响因子：
1.7
通讯作者：
Aiye Shi;Lizhong Xu;Feng Xu;Chengrong Huang
中科院分区：
文献类型：
--
作者：
Aiye Shi;Lizhong Xu;Feng Xu;Chengrong Huang
图像融合对于各种遥感应用具有重要意义，因为许多地球观测卫星提供高分辨率全色（Pan）和低分辨率多光谱（MS）图像。目前已经提出了多种融合方法，如强度-色调-饱和度融合方法和小波变换融合方法。然而，仍需要进一步的研究，以提高融合性能的新类型的遥感图像，如IKONOS或QuickBird图像。我们提出了一种改进的双边全变分滤波方法融合这样的MS和潘图像的基础上正则化。首先，基于观测模型对MS和Pan图像施加约束。然后，改进的双边滤波器被用作先验模型来约束高分辨率MS图像。最后，使用最速下降优化算法来获得估计的MS图像。对IKONOS和QuickBird两种空间退化图像的融合仿真结果表明，该方法在保持MS图像光谱信息的同时，具有较好的空间质量。
Image fusion is of great importance to various remote sensing applications because many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. A number of fusion methods have been proposed, such as intensity-hue-saturation fusion and wavelet transform fusion methods. However, further studies are still necessary to improve the fusion performance for new types of remotely sensed images, such as IKONOS or QuickBird images. We propose an improved bilateral total variation filter method for fusing such MS and Pan images based on regularization. First, the constraints on the MS and Pan images are imposed based on the observation model. Then, the improved bilateral filter is used as an a priori model to constrain the high-resolution MS images. Finally, the steepest descent optimization algorithm is used to obtain the estimated MS images. Fusion simulations on spatially degraded IKONOS and QuickBird images, whose original MS images are available for reference, respectively, show that the proposed approach has better spatial quality while keeping the spectral information of the MS images.