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Spatial fusion algorithm of multispectral and high-resolution panchromatic images

机译:多光谱和高分辨率平面图像的空间融合算法

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Image merging based on wavelet transformation requires a large computation complexity and may cause a severe lost of the spectral information of the multispectral image. A new spatial image fusion algorithm based on fuzzy theory is proposed in this paper. Through calculating the neighborhood homogeneous measurement (NHM) with the fuzzy entropy, the structure information of the high-resolution panchromatic image was obtained. Two thresholds were defined for different rules of fusion. Therefore, different fusion operations were taken accordingly. Experimental results demonstrate that the proposed algorithm enhances spatial detail information of the merged image greatly and has a better ability to preserve spectral information of the original multispectral image, compared with a wavelet image merging algorithm.
机译:基于小波变换的图像合并需要大的计算复杂性,并且可能导致多光谱图像的光谱信息严重丢失。 本文提出了一种基于模糊理论的新空间图像融合算法。 通过计算具有模糊熵的邻域均匀测量(NHM),获得了高分辨率平面图像的结构信息。 为不同的融合规则定义了两个阈值。 因此,相应地采取了不同的融合操作。 实验结果表明,与小波图像合并算法相比,所提出的算法大大提高了合并图像的空间细节信息,并且具有更好的保留原始多光谱图像的光谱信息的能力。

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