无人机遥感系统数据获取与处理关键技术研究
发布时间：2019-06-02 08:12
【摘要】：本文以无人机遥感系统获取的厘米级影像数据生产大比例尺地形图为应用背景,重点探讨无人机遥感系统数据获取与处理的理论、方法,主要围绕无人机平台选型、传感器集成、数据获取、数据质量评价、数据处理、倾斜摄影测量等方面开展了系统的实验和分析工作,取得了对工程应用有价值的实验结论。论文主要实验结论如下：1.利用无人机遥感系统获取的实验区0.05米分辨率影像数据,在像控点符合规范要求时,经数字摄影测量软件处理后,其平面精度和高程精度不能满足1：500比例尺地形图生产精度要求。2.利用无人机遥感系统获取的实验区0.1米分辨率影像数据、实验区0.2米分辨率影像数据,在像控点符合规范要求时,经数字摄影测量软件处理后,其平面精度和高程精度分别能够满足1：1000比例尺、1：2000比例尺地形图生产精度要求。论文主要创新点如下：1.通过对无人机气动设计理论和摄影测量理论的融合研究,确定了无人机飞行平台与传感器选型相关参数。利用影像分辨率与成图比例尺、像点位移与巡航速度、相机的曝光时间的关系,确定了无人机飞行平台、传感器选型的相关参数,并利用雷诺数理论对相关参数进行了验证。同时解决了无人机飞行平台、飞行控制系统、传感器之间的物理集成、逻辑集成、电磁兼容性、时间同步等无人机遥感系统集成的关键技术。2.归纳整理了一套科学合理的无人机航摄质量评价指标体系,并在此基础上设计开发了无人机遥感系统数据质量检查软件,解决了数据获取现场质量检查的难题。通过研究无人机遥感系统数据获取特点,在分析获取数据类型的基础上,构建了数据质量评价指标体系和评价流程,设计了质量评价软件模块及功能,开发了具有相应功能的质量检查软件。3.提出了在无人机平台上搭载单相机、三相机、五相机对地面进行倾斜摄影测量建立地面三维模型的方法。对倾斜相机获取的厘米级分辨率倾斜影像进行几何校正、联合平差处理后,采用影像匹配技术生成超高密度点云数据,通过点云数据构建TIN模型,通过TIN模型构建数字表面模型,基于数字表面模型采用纹理映射技术构建地面三维模型。
[Abstract]:Based on the application background of large scale topographic map produced by centimeter image data obtained by UAV remote sensing system, this paper focuses on the theory and method of data acquisition and processing of UAV remote sensing system, mainly around the selection of UAV platform. Systematic experimental and analytical work has been carried out in sensor integration, data acquisition, data quality evaluation, data processing, tilt photogrammetry and so on, and valuable experimental conclusions have been obtained for engineering application. The main experimental conclusions of this paper are as follows: 1. The 0.05 m resolution image data obtained by UAV remote sensing system are processed by digital photogrammetry software when the image control point meets the requirements of the specification. The plane accuracy and elevation accuracy can not meet the production accuracy requirements of 1 脳 500 scale topographic map. 2. The 0.1 m resolution image data of the experimental area and 0.2 m resolution image data of the experimental area obtained by UAV remote sensing system are processed by digital photogrammetry software when the image control point meets the requirements of the specification. The plane accuracy and elevation accuracy can meet the production accuracy requirements of 1 鈮，
本文编号：2490950
[Abstract]:Based on the application background of large scale topographic map produced by centimeter image data obtained by UAV remote sensing system, this paper focuses on the theory and method of data acquisition and processing of UAV remote sensing system, mainly around the selection of UAV platform. Systematic experimental and analytical work has been carried out in sensor integration, data acquisition, data quality evaluation, data processing, tilt photogrammetry and so on, and valuable experimental conclusions have been obtained for engineering application. The main experimental conclusions of this paper are as follows: 1. The 0.05 m resolution image data obtained by UAV remote sensing system are processed by digital photogrammetry software when the image control point meets the requirements of the specification. The plane accuracy and elevation accuracy can not meet the production accuracy requirements of 1 脳 500 scale topographic map. 2. The 0.1 m resolution image data of the experimental area and 0.2 m resolution image data of the experimental area obtained by UAV remote sensing system are processed by digital photogrammetry software when the image control point meets the requirements of the specification. The plane accuracy and elevation accuracy can meet the production accuracy requirements of 1 鈮，
本文编号：2490950
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