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Transformation and application of Google Earth images

机译:Google Earth图片的转换和应用

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Except using the powerful functions provided by Google Earth to browse geographic information of the world the users want to realize other practical applications through downloading the images provided by GE, for example, recognization, feature extraction and digitising some geographic information on the new images to update the old database, imagebased mapping, overlay other geographic data and realize the functions of display, query and analyse, etc. So we need clip, stitching and projection transformation to the images of GE and get accurate registration with other types of geographic information. This paper analysed the layered organizing method of GE images. That is to realize multi-view browsing and high speed transmission in internet GE uses the super-high efficiency compression technique to images and builds database in layered pyramid structure to mass muti-resolution images. The paper discusses Mercator projection principle. As an example, through processing the GE images and getting pixel value the transformation of Mercator projection and Gauss projection and the resample method of image pixel are studyed. Calculational methods for the image transformation are provided, that may provide ideas and techniques to similar GE image application.
机译:除了使用Google Earth提供的强大功能来浏览世界的地理信息外,用户还希望通过下载GE提供的图像来实现其他实际应用,例如,识别,特征提取和数字化新图像上的一些地理信息以进行更新。旧数据库,基于图像的地图绘制,覆盖其他地理数据并实现显示,查询和分析等功能。因此,我们需要对GE图像进行剪辑,缝合和投影转换,并与其他类型的地理信息进行准确配准。本文分析了GE图像的分层组织方法。即在互联网上实现多视图浏览和高速传输GE使用超高效压缩技术对图像进行图像处理,并以分层金字塔结构建立数据库以处理多分辨率图像。本文讨论了墨卡托投影原理。例如,通过处理GE图像并获得像素值,研究了墨卡托投影和高斯投影的变换以及图像像素的重采样方法。提供了用于图像变换的计算方法,其可以为类似的GE图像应用提供思想和技术。

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