期刊论文详细信息
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
USING DJI PHANTOM 4 RTK DRONE FOR TOPOGRAPHIC MAPPING OF COASTAL AREAS
Stecchi, F.^21  Taddia, Y.^12 
[1] AdriaRilievi, via Castel San Pietro 54, 48121 Ravenna, Italy^2;Engineering Department, University of Ferrara, via Saragat 1, 44122 Ferrara, Italy^1
关键词: UAV;    direct georeferencing;    on-board RTK;    coastal mapping;    Structure-from-Motion;   
DOI  :  10.5194/isprs-archives-XLII-2-W13-625-2019
学科分类:地球科学(综合)
来源: Copernicus Publications
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【 摘 要 】

Imagery acquisition systems by Unmanned Aerial Vehicles (UAVs) have been rapidly evolving within the last few years. In mapping applications, it is the introduction of a considerable amount of Ground Control Points (GCPs) that enables the final reconstruction of a real-scale framed model. Since the survey of GCPs generally requires the use of total stations or GNSS receivers in Real Time Kinematic (RTK), either with or without a Network approach (NRTK), this on-site operation is particularly time consuming. In addition, the lack of clearly image-recognizable points may force the use of artificial markers (signalised GCPs) whenever no features are naturally available in the field. This implies a real waste of time for the deployment of the targets, as well as for their recovery. Recently, aircrafts’ manufacturers have integrated the on-board RTK capability on their UAVs. In such a way, the high precision GNSS system allows the 3D position detection of the camera at the time of each capture within few centimetres. In this work, we tested the DJI Phantom 4 RTK for the topographic survey of a coastal section in the Northern Adriatic Sea (Italy). The flights were performed flying at an 80 m altitude to ensure a Ground Sample Distance (GSD) of about 2 centimetres. The site extended up to 2 kilometres longitudinally. The results confirm that the on-board RTK approach really speeds up the precise mapping of coastal regions and that a single GCP may be needed to make a reliable estimation of the focal length.

【 授权许可】

CC BY   

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