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Spatial resolution enhancement of Hyperion hyperspectral data

机译:Hyperion高光谱数据的空间分辨率增强

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In this study eight fusion techniques and more especially the Ehlers, Gram-Schmidt, High Pass Filter, Local Mean Matching (LMM), Local Mean and Variance Matching (LMVM), Modified IHS (Modihs), Pansharp and PCA, were used for the fusion of Hyperion hyperspectral data with ALI panchromatic data. Both sensors are part of the Earth-Observing 1 satellite. The panchromatic data have a spatial resolution of 10m while the hyperspectral data have a spatial resolution of 30m. All the fusion techniques are designed for use with classical multispectral data. Thus, it is quite interesting to investigate the assessment of the common used fusion algorithms with the hyperspectral data.
机译:在这项研究中,八种融合技术,更尤其是Ehlers,Gram-Schmidt,高通​​滤波器,局部平均匹配(LMM),局部均值和方差匹配(LMVM),修改的IHS(MODIH),PANSHARP和PCA,用于该利用ALI Panchromatic数据融合Hyperion Hyperspectral数据。两个传感器都是接地1卫星的一部分。 Panchromatic数据具有10米的空间分辨率,而超光谱数据具有30m的空间分辨率。所有融合技术都设计用于经典多光谱数据。因此,调查与超光谱数据的常用融合算法的评估非常有意思。

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