中文摘要：

云噪声是光学卫星影像的常见问题,为了衡量云噪声对影像融合带来的影响,本文以高通滤波融合算法为例进行分析,指出云与地物的均值相差越大,云对影像融合的影响越大,并提出了一种针对含云影像的融合方法,即联合云检测与高通滤波的含云影像融合方法。该方法首先利用NIR/R-OTSU云检测算法实时进行云检测,判别出影像中的云覆盖区域;其次采用局部优化策略利用高通滤波融合方法分块对非云区域进行处理,得到融合影像。利用资源三号多光谱和正视全色影像进行融合实验,结果表明,本文算法比高通滤波融合方法、亮度色度饱和度（intensity hue saturation,IHS）变换融合方法、Pansharp融合方法更适用于含云影像的融合处理。

英文摘要：

Noise from clouds is a common problem in optical satellite image processing.The high pass filter（HPF）fusion method is analyzed as a way to estimate the influence of cloud noise during image fusion.An approach combining cloud detection with HPF is introduced that refines the results of image fusion containing clouds.A,NIR/R-OTSU cloud detection approach is employed for real-time cloud detection,thus areas covered by clouds can be identified.A local optimization strategy is adopted in image fusion with HPF in cloudless blocks to get the fused image.Merged multispectral and panchromatic iZY-3satellite image results show that the algorithm discussed in this paper performs better than HPF,IHS transform and Pansharp methods for merging images with clouds.