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Producing fine resolution thematic map using interpolation then classification

机译:使用插值法和分类法生成高分辨率主题图

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In this paper, a framework based on fine resolution thematic map, namely, interpolation then classification (ITC) is proposed. Firstly interpolation algorithm is applied in the original coarse hyperspectral imagery to derive a high-resolution imagery with generous prior information. Then fine resolution thematic map is derived from the high-resolution imagery by the available classification methods. Experiments on two real hyperspectral imagery showed that the proposed method produced higher accuracy result than interpolation-based soft-then-hard super-resolution mapping (I-STHSRM).
机译:本文提出了一种基于精细分辨率专题图的框架,即插值分类法(ITC)。首先,将插值算法应用于原始的粗高光谱图像,以导出具有大量先验信息的高分辨率图像。然后,通过可用的分类方法从高分辨率图像中导出高分辨率主题图。在两个真实的高光谱图像上进行的实验表明,与基于插值的软-然后-硬超分辨率映射(I-STHSRM)相比,该方法产生的精度更高。

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