Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

编号 030025401

推送时间 20200831

研究领域 森林经理 

年份 2020 

类型 期刊 

语种 英语

标题 Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

来源期刊 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

期 第254期

发表时间 20200712

关键词 Photogrammetry;  Mapping;  Aerial;  Bundle adjustment;  Unmanned aerial vehicle;  GPS; 

摘要 Drone mapping with GNSS-assisted photogrammetry is a highly efficient method for surveying small- or medium-sized areas. However, the mapping quality is not intuitively predictable, particularly in complex environments (with steep and cluttered terrain), in which the quality of the real-time kinematic (RTK) or post-processed kinematic (PPK) positioning varies. We present a method to predict the mapping quality from the information that is available prior to the flight, such as the flight plan, expected flight time, approximate digital terrain model, prevailing surface texture, and embedded sensor characteristics. After detailing the important considerations, we also present the concept of global precision within the context of minimal and efficient ground control point placement in a complex terrain. Finally, we validate the proposed methodology by means of rigorous statistical testing against numerous experiments conducted under different mapping conditions.

服务人员 付贺龙

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