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The geometric correction and accuracy assessment based on Cartosat-1 satellite image

机译:基于Cartosat-1卫星图像的几何校正和精度评估

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In the fast developing economic era, traditional topographic map updates can not keep up with the fast pace of the times, so taking use of remote sensing image data to make digital orthophoto map have been the most powerful means. In the article, it takes use of ERDAS LPS module to process Indian high-resolution satellite Cartosat-1's (also known as IRS-P5) three-dimensional image extracting region DEM (digital elevation model). In support of DEM, we can produce the orthophotos, using rational function model. In order to compare the accuracy of orthophotos, which is made by different model, we also use the direct linear transformation model and polynomial model to calibrate the satellite image. we evaluate the positioning accuracy, according to the ground control points. Compare the accuracy of the different model and obtain the experimental results, it shows that under good control, rational function model's location accuracy is higher than direct linear transformation model and polynomial model, especially in the undulating areas.
机译:在快速发展的经济时代,传统的地形图更新无法跟上时代的步伐,因此利用遥感影像数据制作数字正射影像图已成为最有力的手段。在本文中,它使用ERDAS LPS模块处理印度高分辨率卫星Cartosat-1(也称为IRS-P5)三维图像提取区域DEM(数字高程模型)。为了支持DEM,我们可以使用有理函数模型来制作正射影像。为了比较不同模型制作的正射影像的准确性,我们还使用直接线性变换模型和多项式模型来校准卫星图像。我们根据地面控制点评估定位精度。比较不同模型的精度并获得实验结果,表明在良好的控制下,有理函数模型的定位精度要高于直接线性变换模型和多项式模型,尤其是在起伏地区。

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