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Study on the precision of block adjustment based on UAV imagery data

机译:基于无人机影像数据的块调整精度研究

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In order to solve the precision of block adjustment is not high and heavy image processing workload based on UAV image. First, the image data acquired by UAV were processed using the conventional block adjustment method, and then the POS(Position and Orientation System)-supported block adjustment method was used based on the Original POS data. For the problem of accuracy is not high of the original POS data obtained by UAV, POS data correction model was established and POS data error correction parameter were acquired by layout a small amount of the control points in regional network, and a POS-supported block adjustment method was proposed based on the corrected POS data. Experimental results show that the precision of the conventional method is superior to the method of using original POS data directly, using corrected POS data method on the precision is close to the conventional method, at the same time, the efficiency of the block adjustment was improved.
机译:为了解决块调整的精度不高而沉重的基于UAV图像的图像处理工作量。首先,使用常规的块调整方法处理通过无人机获取的图像数据,然后基于原始POS数据使用支持POS(位置和方向系统)的块调整方法。针对无人机获取的原始POS数据精度不高的问题,建立了POS数据校正模型,并通过在局域网中布置少量控制点,获得了POS数据纠错参数,并建立了POS支持的模块。根据校正后的POS数据提出了一种调整方法。实验结果表明,常规方法的精度优于直接使用原始POS数据的方法,在精度上使用修正的POS数据方法与常规方法接近,同时,提高了块调整的效率。

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