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THE ASSESSMENT OF ORTHOPHOTO QUALITY WITH RESPECT TO THE STRUCTURE OF DIGITAL ELEVATION MODEL

机译:对数字高度模型结构的评估

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Orthophoto is an image which is being corrected geometrically so each object has to be situated on the corrected place consequently. Choosing the best DEM structure with respect to the area topographic is the most challenge which has more important role when dealing with rough surfaces displacements in duration of orthophoto procedures. The Lower DEM resolution makes points density lower and makes the procedure faster but cause to decreasing the product precision in compare to choosing the other one. However if a fine resolution DEM cause to very delicate displacement corrections aside of the other benefits but it makes to appear some undesired visualized errors like as elongation error especially in an areas which are hidden with some obstacles and there are lacks of data in an imaging. For preventing of such error in DEM structure calculation and earning the most benefits, we found and execute some solutions. In other word we answered to this question that what DEM resolution is the best for orthophoto production. In the following we have done some tests. First a dense DEM of a topographic area calculated and edited accurately then its density was reduced in some steps gradually. At each stage the root mean square error (RMSE) of interpolated heights of points which were laid in the distance between the corresponding DEMs pixels has been calculated respectively. Two interpolation methods (Nearest neighbour and Bilinear interpolation) have been used in this test. Decreasing the DEMs density or increasing the pixel size made the amounts of errors high and the rate of this changing dependent on the kind of topography directly. So we divided the area into some reasonable topographic classes then calculated our results for each class separately. The result of each strategy compared with each other and presented in both numerical tables and some illustrated images. Because of the relation between horizontal precision of orthophotos which are existed in the standard producing instruction and the accuracy of the DEM which are mostly related to its density, the suitable resolution for producing different scale orthophotos at each kind of topographic class have been calculated from mentioned methods consequences and shown as a final result.
机译:Orthophoto是几何上校正的图像,因此每个物体必须位于校正位置。选择最佳DEM结构的地形是最挑战的最重要的作用,在处理持续时间的正交程序中的粗糙表面位移时具有更重要的作用。较低的DEM分辨率使得点密度降低,使程序更快,但导致比较选择另一个产品精度。然而,如果一个良好的分辨率DEM导致除了其他好处之外的偏细校正,但它会出现一些不期望的可视化错误,如伸长率误差,尤其是在隐藏一些障碍物的区域中,并且在成像中缺乏数据缺乏数据。为了防止DEM结构计算中的此类错误,我们发现并执行了一些解决方案。换句话说,我们回答了这个问题,DEM解决方案是最适合的正弦生产。在下文中,我们已经完成了一些测试。首先,准确计算和编辑的地形区域的密集DEM,然后逐渐减少其密度。在每个阶段,分别计算出在相应的DEMS像素之间的距离中铺设的点的均方根误差(RMSE)。在该测试中使用了两个插值方法(最近的邻居和双线性插值)。降低DEMS密度或增加像素尺寸使得误差的量高,并且这种改变的速率直接取决于地形类型。因此,我们将该区域分为一些合理的地形类,然后单独计算每个班级的结果。每个策略的结果彼此相比,并在数值表和一些示例图像中呈现。由于在标准生产指令中存在的正水平精度与大多数与其密度相关的DEM的准确度之间的关系,从提到的提到计算了在各种形貌类别中产生不同尺度正射科体的合适分辨率方法后果并显示为最终结果。

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