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Experimental Research of Aerial Triangulation of UAV Remote Sensing Image Based on DPGrid

机译:基于DPGrid的无人机遥感影像空中三角剖分实验研究

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As a new type instruments of aerial remote sensing, the low-altitude unmanned aerial vehicle(UAV) mapping systems with its flexible, convenient and efficient advantages make up the deficiencies of the traditional aerial photography in a small area of large scale mapping, emergency and a new countryside surveying, urban rapid updating, focused region monitoring and so on. For the characteristics of unequal overlap, big swing-tilt angle, using the matching technique that combine SIFT feature matching with least squares matching to achieve automatic and high-precise matching, and availably resolve aerial triangulation difficulty of UAV images. Basing on an analysis of UAV remote sensing system, DPGrid (Digital Photogrammetry Grid) system is presented, the tests showed that matching algorithm of the module is advanced, reliable and accurate adjustment, can meet requirements of production.
机译:低空无人飞行器(UAV)作为一种新型的航空遥感仪器,其灵活,方便,高效的优势弥补了传统航空摄影在小范围大规模制图,应急和快速制图方面的不足。新农村测量,城市快速更新,重点区域监视等。针对重叠不均等,摆角大的特点,采用SIFT特征匹配与最小二乘匹配相结合的匹配技术,实现了自动,高精度的匹配,有效解决了无人机图像的空中三角剖分的困难。在对无人机遥感系统进行分析的基础上,提出了DPGrid(数字摄影测量网格)系统,测试表明该模块的匹配算法先进,调整可靠,准确,可以满足生产要求。

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