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A Pansharpening Algorithm Based on Morphological Filters

机译:基于形态过滤器的泛锐化算法

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The fusion of multispectral and panchromatic images acquired by sensors mounted on satellite platforms represents a successful application of data fusion called Pansharpening. In this work we propose an algorithm based on morphological pyramid decomposition. This approach implements a Multi Resolution scheme based on morphological gradients for extracting spatial details from the panchromatic image, which are subsequently injected in the multispectral one. Several state-of-the-art methods are considered for comparison. Quantitative and qualitative results confirm the capability of the proposed technique to obtain pansharpened images that outperform state-of-the-art approaches.
机译:由安装在卫星平台上的传感器获取的多光谱和全色图像的融合代表了称为Pansharpening的数据融合的成功应用。在这项工作中,我们提出了一种基于形态金字塔分解的算法。这种方法实现了一种基于形态学梯度的多分辨率方案,用于从全色图像中提取空间细节,然后将其注入多光谱图像中。考虑了几种最先进的方法进行比较。定量和定性的结果证实了所提出的技术能够获得胜过最先进方法的锐化图像的能力。

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