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Framelet based Image fusion for the enhancement of cloud associated shadow areas in satellite images.

机译:基于卫星图像中云相关阴影区域增强的帧帧的图像融合。

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In this paper, a framelet-based image sharpening algorithm was developed to enhance cloud-associated shadow areas in satellite images while preserving details underneath shadow areas. The developed algorithm utilizes framelet analysis to decompose cloudy images into several frequency level components. Image details underneath shadow areas are more preserved in this method compared to wavelet based methods. The developed technique is implemented on a cloudy Landsat7 Panchromatic subscene. The results showed that the developed technique was successful in enhancing the cloudy image through preserving the obscured details underneath the cloud associated shadow areas. Framelet based technique is having ability to maintain such details under shadow areas. Generally, two or three framelet decomposition levels were found to be sufficient for the analysis because the number of artifacts will increase with increase of number of decomposition levels.
机译:在本文中,开发了一种基于帧的图像锐化算法,以增强卫星图像中的云相关的阴影区域,同时保留阴影区域下方的细节。开发的算法利用帧头分析来将阴影图像分解为多个频率级别分量。与基于小波的方法相比,阴影区域下方的图像细节更保留。开发的技术在多云的Landsat7平面群中实现。结果表明,通过保留云相关阴影区域下面的模糊细节,开发技术成功增强了多云的图像。基于帧的技术具有能够在阴影区域下维护这些细节。通常,发现两种或三个帧帧分解水平足以进行分析,因为伪影的数量随着分解水平的数量的增加而增加。

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