A Benchmarking of Commercial Small Fixed-Wing Electric UAVs and RGB Cameras for Photogrammetry Monitoring in Intertidal Multi-Regions

IF 4.4 2区 地球科学 Q1 REMOTE SENSING Drones Pub Date : 2023-10-20 DOI:10.3390/drones7100642
Gabriel Fontenla-Carrera, Enrique Aldao, Fernando Veiga, Higinio González-Jorge
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Abstract

Small fixed-wing electric Unmanned Aerial Vehicles (UAVs) are perfect candidates to perform tasks in wide areas, such as photogrammetry, surveillance, monitoring, or search and rescue, among others. They are easy to transport and assemble, have much greater range and autonomy, and reach higher speeds than rotatory-wing UAVs. Aiming to contribute towards their future implementation, the objective of this article is to benchmark commercial, small, fixed-wing, electric UAVs and compatible RGB cameras to find the best combination for photogrammetry and data acquisition of mussel seeds and goose barnacles in a multi-region intertidal zone of the south coast of Galicia (NW of Spain). To compare all the options, a Coverage Path Planning (CPP) algorithm enhanced for fixed-wing UAVs to cover long areas with sharp corners was posed, followed by a Traveling Salesman Problem (TSP) to find the best route between regions. Results show that two options stand out from the rest: the Delair DT26 Open Payload with a PhaseOne iXM-100 camera (shortest path, minimum number of pictures and turns) and the Heliplane LRS 340 PRO with the Sony Alpha 7R IV sensor, finishing the task in the minimum time.
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商用小型固定翼电动无人机和RGB相机在潮间带多区域摄影测量监测中的基准测试
小型固定翼电动无人驾驶飞行器(uav)是执行广泛领域任务的完美候选人,例如摄影测量,监视,监控或搜索和救援等。它们易于运输和组装,具有更大的航程和自主性,并且比旋翼无人机达到更高的速度。为了对其未来的实施做出贡献,本文的目标是对商业,小型,固定翼,电动无人机和兼容的RGB相机进行基准测试,以找到加利西亚南海岸(西班牙西北部)多区域潮间带贻贝种子和鹅藤盆的摄影测量和数据采集的最佳组合。为了比较各种选择,提出了一种改进的固定翼无人机覆盖路径规划(CPP)算法,用于固定翼无人机覆盖具有尖角的长区域,然后利用旅行推销员问题(TSP)寻找区域之间的最佳路径。结果表明,两种选择脱颖而出:Delair DT26开放式有效载荷与PhaseOne iXM-100相机(最短路径,最少的照片和转数)和Heliplane LRS 340 PRO与索尼Alpha 7R IV传感器,在最短的时间内完成任务。
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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