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High accuracy mapping with cartographic assessment for a fixed-wing remotely piloted aircraft system

机译:高精度映射与固定翼飞行飞机系统的制图评估

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The lack of updated maps on large scale representations has encouraged the use of remotely piloted aircraft systems (RPAS) to generate maps for a wide range of professionals. However, some questions arise: do the orthomosaics generated by these systems have the cartographic precision required to use them? Which problems can be identified in stitching orthophotos to generate orthomosaics? To answer these questions, an aerophotogrammetric survey was conducted in an environmental conservation unit in the city of Goiania. The flight plan was set up using the E-motion software, provided by Sensefly-a Swiss manufacturer of the RPAS Swinglet CAM used in this work. The camera installed in the RPAS was the Canon IXUS 220 HS, with the number of pixels in the sensor array of 12.1 megapixel, complementary metal oxide semiconductor 1:2.3 '' (4000 x 3000 pixel), horizontal and vertical pixel sizes of 1.54 mu m. Using the orthophotos, four orthomosaics were generated in the Pix4D mapper software. The first orthomosaic was generated without using the control points. The other three mosaics were generated using 4, 8, and 16 premarked ground control points. To check the precision and accuracy of the orthomosaics, 46 premarked targets were uniformly distributed in the block. The three-dimensional (3-D) coordinates of the premarked targets were read on the orthomosaic and compared with the coordinates obtained by the geodetic survey real-time kinematic positioning method using the global navigation satellite system receiver signals. The cartographic accuracy standard was evaluated by discrepancies between these coordinates. The bias was analyzed by the Student's t test and the accuracy by the chi-square probability considering the orthomosaic on a scale of 1:250, in which 90% of the points tested must have a planimetric error of 0.13 m with a standard deviation of 0.08 m and altimetric errors of 0.30 m with a standard deviation of 0.20 m. It was observed that some buildings in the orthomosaics were not properly orthorectified. The orthomosaics generated with 8 or more points reached the scale of 1:250, whereas without control points the scale was 10-fold smaller (1:3000). (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:缺乏大规模表示的更新地图鼓励了使用远程飞行的飞行器系统(RPA)来为各种专业人士生成地图。但是,出现了一些问题:这些系统产生的正交组件是否具有使用它们所需的制图精度?可以在针脚的正射科体中鉴定哪些问题,以产生正反症状?为了回答这些问题,在Goiania市的环境保护单位进行了一个冒光图调查。使用由Sensefly-A瑞士制造商提供的E-Motion软件建立了飞行计划。安装在RPA中的摄像机是佳能IXUS 220 HS,传感器阵列中的像素数为12.1百万像素,互补金属氧化物半导体1:2.3'(4000 x 3000像素),水平和垂直像素尺寸为1.54亩m。使用orthophotos,在PIX4D Mapper软件中生成四个正骨骼。在不使用对照点的情况下产生第一正骨。使用4,8和16个主要的地面控制点产生其他三个马赛克。为了检查正轨的精度和准确性,在块中均匀分布46个已故的目标。在正骨核糖中读取了预先展现的目标的三维(3-D)坐标,并与使用全球导航卫星系统接收器信号的大地测量实时运动定位方法获得的坐标进行比较。通过这些坐标之间的差异评估制图精度标准。通过学生的T检验和通过Chi-Square概率的准确性分析了偏差,以1:250的等级,其中测试的90%的点必须具有& 0.13 m的平面误差偏差为0.08米和& 0.30 m的过度误差,标准偏差为0.20米。观察到,逆骨骼中的一些建筑物未正确矫正。用8个或更多点产生的正交骨骼达到1:250的等级,而没有控制点,刻度为10倍(1:3000)。 (c)2018年光学仪表工程师协会(SPIE)

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