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Applied research of wavelet transform fusion in land-use monitoring survey of urban fringe

机译:对城市边缘土地利用监测调查中的小波变换融合的应用研究

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Image fusion is a very useful technique of obtaining high-resolution multi-spectral images from low spatial resolution multi-spectral and high-resolution panchromatic images. Nowadays many fusion techniques are available. However, those conventional fusion techniques existed also some shortcomings, which could not keep balance for preserving spectral information very well in a fused image with high-resolution spatial information. Hence, in this research a recent and efficient technique of fusion based on wavelet transformation was applied. The results presented the wavelet transform method is proved to be the best option for visual appreciation, preserving most 93% of the spectral information content, and as well improving the interpretability of low-resolution multi-spectral image classification. Meanwhile the results also further show the application potentiality of fusion technique based on wavelet transform for improving urban land classes in urban fringe.
机译:图像融合是从低空间分辨率多光谱和高分辨率平面图像获得高分辨率多光谱图像的非常有用的技术。如今,可以使用许多融合技术。然而,这些传统的融合技术也存在一些缺点,这在具有高分辨率空间信息的融合图像中不太良好地保持频谱信息的平衡。因此,在本研究中,应用了基于小波变换的近期融合技术。结果呈现了小波变换方法,被证明是视觉欣赏的最佳选择,保持最多93%的光谱信息内容,以及提高低分辨率多光谱图像分类的可解释性。同时,结果还进一步阐述了基于小波变换的融合技术的应用潜力,从而改善城市边缘城市土地舱。

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