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The use of wavelet high frequency substitution fusion to increase remote sensing image spatial resolution

机译:利用小波高频替代融合技术提高遥感影像的空间分辨率

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HIS transform was one of typical method for remote sensing data fusion. In resent years, newly developed method that combines advantages of HIS and Wavelet algorithms makes image fusion. In this case after the Wavelet substitution based on pixels or features, and then transforms inversely with HIS in Munsell color space. In this paper we introduce a high frequency substitution method to improve spatial resolutions of imagery. The procedure of the method introduced as flowchart, in which the dot line area is our newly added method. The resolution was greatly improved comparing original image. In cooperating with the demand of on going Minjiang river, Si Chuan, China. A 15m resolution PAN band and 30m resolution 7 bands of ETM data were selected for the method testing, the steps of method test showing in flow chart of this paper, in the figure the dots area was our newly developed wavelet high frequency substitute. Improved NDVI imagery raised the quality for monitoring land cover change factor in the project of Return Farmland Back to Forest or Grassland.
机译:HIS变换是遥感数据融合的典型方法之一。近年来,结合HIS和Wavelet算法优势的新开发方法使图像融合。在这种情况下,基于像素或特征的小波替换后,再用Munsell色彩空间中的HIS进行逆变换。在本文中,我们介绍了一种高频替代方法来提高图像的空间分辨率。该方法的程序作为流程图介绍,其中虚线区域是我们新添加的方法。与原始图像相比,分辨率得到了极大的提高。为配合不断发展的闽江流域的需求,中国四川。选择15m分辨率PAN波段和30m分辨率7波段的ETM数据进行方法测试,方法测试的步骤如本文的流程图所示,图中的点区域是我们最新开发的小波高频替代品。改良的NDVI影像提高了“退耕还林”项目中监测土地覆盖变化因子的质量。

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