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Quick image-processing method of UAV without control points data in earthquake disaster area

机译:地震灾区无控制点数据的无人机快速图像处理方法

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The methods of unmanned aerial vehicles images splicing rapidly and rectifying without control points data, only using auxiliary data recorded by unmanned aerial vehicle (UAV) system, were researched. Two algorithms were proposed, including UAV images auto- splicing rapidly after image blocking and UAV images rectifying based on pseudo center points of auxiliary data. When SIFT algorithm for UAV images splicing is applied, the accuracy is very high, but the efficiency is very low. The splicing efficiency is improved greatly based on SIFT algorithm after image blocking. The results show that rectifying accuracy is very high and has no visual dislocation when pseudo center points of auxiliary data is applied.
机译:研究了仅利用无人机系统记录的辅助数据,无控制点数据的无人飞行器图像快速拼接和校正方法。提出了两种算法,包括图像阻断后快速自动拼接的无人机图像和基于辅助数据伪中心点的无人机图像校正。当采用SIFT算法进行无人机图像拼接时,精度很高,但效率很低。图像分块后,基于SIFT算法,拼接效率大大提高。结果表明,当应用辅助数据的伪中心点时,整流精度很高,并且没有视觉错位。

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