首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >RASPBERRY PI 3 MULTISPECTRAL LOW-COST SENSOR FOR UAV BASED REMOTE SENSING. CASE STUDY IN SOUTH-WEST NIGER
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RASPBERRY PI 3 MULTISPECTRAL LOW-COST SENSOR FOR UAV BASED REMOTE SENSING. CASE STUDY IN SOUTH-WEST NIGER

机译:RASPBERRY PI 3多光谱低成本传感器,用于基于无人机的遥感。西南尼日尔的案例研究

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The technology of UAV (Unmanned Aerial Vehicles) is rapidly improving and UAV-integrated sensors have kept up with it, providing more efficient and effective solutions. One of the most sought-after characteristics of on-board sensors is the low costing associated to good quality of the collected data. This paper proposes a very low-cost multiband sensor developed on a Raspberry device and two Raspberry Pi 3 cameras that can be used in photogrammetry from drone applications. The UAV-integrated radiometric sensor and its performance were tested in in two villages of South-west Niger for the detection of temporary surface water bodies (or Ephemeral water bodies): zones of seasonal stagnant water within villages threatening the viability and people’s health. The Raspberry Pi 3 cameras employed were a regular RGB Pi camera 2 (Red, Green, Blue) and a NoIR Pi 3 camera v2 (regular RGB without IR filter) with 8MPX resolution. The cameras were geometrically calibrated and radiometrically tested before the survey in the field. The results of the photogrammetry elaborations were 4 orthophotos (a RGB and NoIRGB orthophoto for each village). The Normalized Difference Water Index (NDWI) was calculated. The index allowed the localization and the contouring of the temporary surface water bodies present in the villages. The data were checked against the data collected with a Sony (ILCE-5100). Very high correspondence between the different data was detected. Raspberry-based sensors demonstrated to be a valid tool for the data collection in critical areas.
机译:无人机技术正在迅速改进,集成了无人机的传感器紧跟其后,提供了更有效的解决方案。车载传感器最受追捧的特性之一是与采集数据的高质量相关的低成本。本文提出了一种在Raspberry设备和两台Raspberry Pi 3相机上开发的非常低成本的多频段传感器,这些相机可用于无人机应用的摄影测量。集成了无人机的辐射传感器及其性能在尼日尔西南部的两个村庄中进行了测试,以检测临时地表水体(或临时水体):村庄内季节性停滞水域威胁生存能力和人们的健康。使用的Raspberry Pi 3摄像机是常规RGB Pi摄像机2(红色,绿色,蓝色)和NoIR Pi 3摄像机v2(不带IR滤镜的常规RGB),分辨率为8MPX。在实地调查之前,对摄像机进行了几何校准和放射测试。摄影测量的详细结果为4张正射照片(每个村庄分别为RGB和NoIRGB正射照片)。计算归一化差异水指数(NDWI)。该指数允许对村庄中存在的临时地表水体进行定位和轮廓化。对照索尼(ILCE-5100)收集的数据检查数据。在不同数据之间检测到很高的对应关系。基于树莓派的传感器被证明是关键区域数据收集的有效工具。

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