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Accuracy evaluation orthorectification of SPOT image

机译:SPOT图像的准确性评估正射校正

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Orthorectification in the study conducted on 14 scene multispectral imagery SPOT4 SPOT2 and West Java. The composition of the scene to form a wide block with no gaps, making it possible to do block triangulation. This triangulation is used to determine the relationship between the satellite image and the earth. The information generated from the triangulation will be used as input during orthorectification. Ground control points (GCP) were taken from the data vector Indonesian Topographic Map 1:25,000 scale and elevation data extracted from the DEM derived from contour maps RBI data is the same. Triangulation blocks performed with various configurations GCP and tie points (TP), the minimal configuration, just along perimeter blocks, regularly spaced regularly spaced half scene and a third scene. Each configuration is lowered into several configurations based on the use of TP. Triangulation accuracy result was tested with 244 check points (CP) that spread in the block configuration can produce a minimum GCP accuracy RMSE (Root Mean Square Error) 1.25 pixels if equipped with a TP meeting. GCP configuration on the perimeter of the block is not recommended for use if it is not equipped with TP. Highest accuracy resulting from configuration GCP / TP per a third scene with RMSE 0.98 pixels. Accuracy will be determined by the distribution and the number of GCP and the use of TP. Best accuracy of this research is suitable for medium-scale map updates 1:65.000.
机译:在对14个场景多光谱图像SPOT4 SPOT2和West Java进行的正射校正中。场景的组成形成没有间隙的宽块,从而可以进行块三角剖分。此三角剖分用于确定卫星图像和地球之间的关系。从三角剖分生成的信息将在正射校正过程中用作输入。地面控制点(GCP)取自数据向量Indonesian Topographic Map 1:25,000比例尺,而从等高线地图数据导出的DEM中提取的高程数据是相同的。三角剖分块使用各种配置GCP和联系点(TP)(最小配置)沿外围块执行,规则间隔为规则间隔的一半场景和第三场景。根据TP的使用,每种配置都可分为几种配置。使用244个检查点(CP)测试了三角剖分精度结果,这些点在块配置中展开,如果配备了TP会议,则可以产生最小GCP精度RMSE(均方根误差)1.25个像素。如果未配备TP,则不建议在模块外围使用GCP配置。每三个场景配置GCP / TP的精度最高,RMSE为0.98像素。准确性将取决于GCP的分布和数量以及TP的使用。这项研究的最高准确性适用于1:65.000的中比例地图更新。

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