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GEOMETRIC AND MAPPING POTENTIAL OF WORLDVIEW-1 IMAGES

机译:WorldView-1图像的几何和映射潜力

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The geometric resolution of space images has been improved. With WorldView-1 and GeoEye-1 images taken from space with 0.5m ground sampling distance (GSD) are now available. The Bosphorus Engineering Consultancy Services Inc (BIMTAS), company of Istanbul Greater Municipality ordered a WorldView-1 image, covering large parts of Istanbul city. For the orientation and investigation of the scene accuracy, 29 ground control points (GCPs) could be used. Partially GCPs were handled as independent check points. Even with just one GCP a standard deviation of independent check points in the range of 1.0 GSD was reached. The limited accuracy of the point heights did not allow sub-pixel accuracy, which only was reached in the component direction across the view direction being independent upon the point height. Very similar results have been achieved with a scene in the area of Zonguldak. The information content of the very high resolution space image was tested by mapping all buildings in a sub-area. As reference a building layer of the same area, based on aerial images could be used. In city centres shadows of high buildings make the mapping difficult. Here a local Wallis-filter is helpful. This investigation was supported by analysis of the WorldView-1 stereo pair Morrison, free of charge available in the WEB. An automatic image matching by least squares method was very successful in build up and open, not too mountainous areas, while in very steep parts, located in shadow and covered by forest, the matching result was limited. This is comparable with results achieved with QuickBird and IKONOS stereo scenes.
机译:空间图像的几何分辨率已经提高。现在可以使用WorldView-1和Geoeye-1从带有0.5m的地面采样距离(GSD)的空间拍摄的图像。 Bosphorus Engineering Constramants Services Inc(Bimtas),伊斯坦布尔大型市政公司订购了一个世界观-1图像,覆盖了伊斯坦布尔市的大部分地区。对于场景精度的方向和调查,可以使用29个地面控制点(GCP)。部分GCP被处理为独立的检查点。即使只有一个GCP,达到了1.0GSD范围内的独立检查点的标准偏差。点高度的有限精度不允许子像素精度,该精度仅在组件方向上达到视图方向上独立于点高度。 Zonguldak地区的场景已经实现了非常相似的结果。通过映射子区域中的所有建筑物来测试非常高分辨率空间图像的信息内容。作为参考,可以使用基于航空图像的相同区域的构建层。在城市中心的高建筑阴影使映射变得困难。在这里,本地Wallis过滤器有用。通过在WorldView-1立体声对Morrison的分析,免费提供此调查,可免费提供网络。通过最小二乘法的自动图像匹配非常成功,在累积和开放,而不是太山区,而在非常陡峭的部分,位于阴影和被森林覆盖,匹配结果是有限的。这与Quickbird和Ikonos立体声场景所实现的结果相当。

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