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首页> 外文期刊>Precision Agriculture >Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)
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Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)

机译：手动地理整流，提高基于消费类无人机（无人机）的图像的矫形器的空间准确性

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The global spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs) is relatively low. The use of ground control points (GCPs) improves the accuracy but it requires RTK-GNSS (global navigation satellite system) measurements in the field. The objective of this study was to evaluate manual geo-rectification after ortho-mosaicking as a cost-effective alternative to GCPs or UAVs equipped with RTK-GNSS. Google Earth images and A-B lines used for tractor auto-steering were used for manual geo-rectification with a free geographic information system (GIS) and remote-sensing (RS) software (QGIS). Two different photogrammetry software (Agisoft Photoscan and Pix4DMapper) were used for ortho-mosaicking. Images were captured in three fields at two altitudes (40 and 80 m) with a multi-rotor camera drone equipped with a GNSS without ground reference (Phantom 4). The results showed that flight altitude and photogrammetry software had no impact on the spatial accuracy and that manual geo-rectification significantly improved the spatial accuracy. Root mean squares (RMSEs) for ortho-mosaics without geo-rectification was in the range of 4 to 28 m and the range was 0.6 to 2.5 m and 0.5 to 1.1 m for geo-rectification based on Google Earth images and A-B-lines, respectively. RTK-GNSS tagged UAV images and the use of GCPs gave average RMSEs of less than 0.1 m. It was concluded that manual geo-rectification offers a feasible alternative to GCPs and UAVs with RTK-GNSS when spatial accuracy of about 1 m is acceptable.
机译：基于来自消费级无人航空车辆（无人机）的图像的正常空间准确性（无人机）相对较低。地面控制点（GCPS）的使用提高了最精确，但它需要该领域的RTK-GNSS（全球导航卫星系统）测量。本研究的目的是评估正常摩托车之后的手动地质整流作为配备RTK-GNSS的GCP或UAV的经济高效替代品。用于拖拉机自动转向的Google接地图像和A-B线用于使用自由地理信息系统（GIS）和远程传感（RS）软件（QGIS）进行手动地铁整流。两种不同的摄影测量软件（Agisoft Photoscan和Pix4dmapper）用于摩托车。图像以两个高度（40和80米）的三个字段中的图像捕获，其中多转子摄像机无人机配备有没有接地参考（幻影4）的GNSS。结果表明，飞行高度和摄影测量软件对空间准确性没有影响，手动地理整流显着提高了空间精度。用于在没有地质整流的情况下进行邻晶片的均方方（RMSE）在4至28μm的范围内，基于Google地球图像和AB线的地球整流，范围为0.6至2.5米，0.5至1.1米，分别。 RTK-GNSS标记UAV图像，使用GCP的平均RMS为小于0.1米。结论是，当可接受约1米的空间精度时，手动地铁整流为GCP和UAV提供了可行的替代品，通过RTK-GNSS。

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