FIELD ACCURACY TEST OF RPAS PHOTOGRAMMETRY
FIELD ACCURACY TEST OF RPAS PHOTOGRAMMETRY
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RPAS摄影测量现场精度测试
DOI：
10.5194/isprsarchives-xl-1-w2-27-2013
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
R. Coakley
中科院分区：
文献类型：
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作者：
P. Barry;R. Coakley
摘要。基线测量有限公司是一家专门为商业和政府机构提供准确地理空间数据的公司，例如地籍、地形和工程测量数据。基线调查有限公司投资于无人机摄影测量技术，并要求在营销我们的新航空测绘服务之前，建立从我们的无人机摄影测量中获得的地理数据的空间精度。我们为建筑行业提供了超过20年的测量数据，我们认为对于我们的客户来说，清楚地了解我们摄影测量的准确性是至关重要的，这样他们就可以在已知的数据精度限制内安全地做出明智的空间决策。这个信息也将通知我们如何和在哪里使用无人机摄影测量。我们想要找出的是，在整个2公顷的现场条件下，使用无人机收集数据可以可靠地达到的实际精度。我们让一架无人机以“割草机轨迹”的模式飞过测试区域，80%的正面和80%的侧面重叠；我们设置了45个地面标记点作为检查点，并利用网络实时运动全球定位系统（RTK GPS）对其进行了测量。我们专门设计了地面标记，以满足我们的精度需求。我们建立了10个独立的地面标记作为控制点，并将其输入到我们的照片建模软件Agisoft PhotoScan中。剩余的GPS协调检查点数据稍后在ArcMap中添加到完成的正射线图和数字高程模型中，以便我们可以准确地将无人机摄影测量XYZ数据与RTK GPS XYZ数据在高可靠的公共点上进行比较。我们在45个检查点中获得的精确度为95%，在水平41毫米和垂直68毫米范围内，从高于地面90米的飞行高度获得11.7毫米的地面样本距离。一幅图像覆盖的面积为70.2 m × 46.4 m，等于0.325 Ha。这个发现已经显示从UAV摄影测量得到的XYZ数据具有与RTK GPS相似的实际精度，它通常用于地籍、地形和工程测量工作。这意味着无人机摄影测量可以在很大程度上取代GPS测量，成为工程项目、边界测绘和地形测量的主要数据捕获方法。航空摄影测量与RTK GPS相结合，现在可以用于具有1:200地图比例尺精度要求的项目。
Abstract. Baseline Surveys Ltd is a company which specialises in the supply of accurate geospatial data, such as cadastral, topographic and engineering survey data to commercial and government bodies. Baseline Surveys Ltd invested in aerial drone photogrammetric technology and had a requirement to establish the spatial accuracy of the geographic data derived from our unmanned aerial vehicle (UAV) photogrammetry before marketing our new aerial mapping service. Having supplied the construction industry with survey data for over 20 years, we felt that is was crucial for our clients to clearly understand the accuracy of our photogrammetry so they can safely make informed spatial decisions, within the known accuracy limitations of our data. This information would also inform us on how and where UAV photogrammetry can be utilised. What we wanted to find out was the actual accuracy that can be reliably achieved using a UAV to collect data under field conditions throughout a 2 Ha site. We flew a UAV over the test area in a "lawnmower track" pattern with an 80% front and 80% side overlap; we placed 45 ground markers as check points and surveyed them in using network Real Time Kinematic Global Positioning System (RTK GPS). We specifically designed the ground markers to meet our accuracy needs. We established 10 separate ground markers as control points and inputted these into our photo modelling software, Agisoft PhotoScan. The remaining GPS coordinated check point data were added later in ArcMap to the completed orthomosaic and digital elevation model so we could accurately compare the UAV photogrammetry XYZ data with the RTK GPS XYZ data at highly reliable common points. The accuracy we achieved throughout the 45 check points was 95% reliably within 41 mm horizontally and 68 mm vertically and with an 11.7 mm ground sample distance taken from a flight altitude above ground level of 90 m.The area covered by one image was 70.2 m × 46.4 m, which equals 0.325 Ha. This finding has shown that XYZ data derived from UAV photogrammetry has a similar practical accuracy to RTK GPS, which is commonly used for cadastral, topographic and engineering survey work. This means that UAV photogrammetry can, for the most part, replace GPS surveying as the main method of data capture for engineering projects, boundary mapping and topographical surveying. Aerial Photogrammetry, in conjunction with RTK GPS, can now be used for projects with a 1:200 map scale accuracy requirement.