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

机译:小波高频替代融合的使用增加遥感图像空间分辨率

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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变换是用于遥感数据融合典型方法之一。期近年来,新开发的方法,它的HIS和小波算法联合的优势,使图像融合。在基于像素或特征,然后用成反比HIS在蒙赛尔色空间变换小波取代后这种情况下。在本文中,我们引入一个高频替代方法来提高图像的空间分辨率。该方法的程序引入流程图,其中虚线区域是我们的新添加的方法。该决议得到极大改善比较原始图像。在与对去闽江,四川,中国的需求合作。甲15米分辨率PAN带和30米分辨率被选择用于所述方法的测试ETM数据的7条带,方法测试的步骤示出了在本文中的流程图,在图中的点区域是我们的新开发的小波高频替代品。改进NDVI图像提高了在退耕回到森林草项目监测土地覆盖变化因素的质量。

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