利用无人机(UAV)高分辨率多光谱成像的测深方法比较评估

IF 4.5 2区 工程技术 Q1 ENGINEERING, CIVIL
S.P. Viaña-Borja , S. Heredia , G. Navarro , X. Santamarta-Benito , N. Araujo-Suarez , I. Caballero
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引用次数: 0

摘要

配备多光谱传感器的无人机(uav)为动态沿海环境中的高分辨率测深测绘提供了一种有前途的、经济高效的替代方案。本研究评估了将两种已建立的卫星衍生测深(SDB)方法——Stumpf (S)和Caballero-Stumpf (CS)——应用于基于无人机的多光谱成像(UDB,无人机衍生测深)的可行性。四架无人机在Luarca(西班牙北部)上空进行飞行,从港口和邻近的海滩捕获不同浊度和环境条件的数据。结果表明,基于绿波段反射率的UDBgreen模型在精度上始终优于基于红波段的UDBred模型,在水深达7 m的情况下,中位绝对误差(MedAE)在0.41 ~ 0.67 m之间。相反,UDBred在这些水域表现不佳。通过首个基于无人机的CS合成方法的实现,还测试了集成多个无人机飞行的复合方法,CS合成方法最初是为卫星图像开发的,用于解决浑浊问题。然而,与传统的S模型或单图像结果相比,它并没有产生显著的精度提高,突出了环境因素和飞行特定参数对UDB数据质量的影响。考虑到这些发现,并考虑到无人机平台提供了关键的作战优势,如更高的空间分辨率、灵活的采集时间,以及对小型或多云沿海地区的更好适用性,迫切需要在不同的沿海条件下进一步验证基于无人机的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative assessment of bathymetric methods using unmanned aerial vehicle (UAV) high-resolution multispectral imaging
Unmanned Aerial Vehicles (UAVs) equipped with multispectral sensors offer a promising, cost-effective alternative for high-resolution bathymetric mapping in dynamic coastal environments. This study evaluates the feasibility of adapting two established satellite-derived bathymetric (SDB) methods, the Stumpf (S) and Caballero-Stumpf (CS), to UAV-based multispectral imagery (UDB, UAV-Derived Bathymetry). Four UAVs flights are conducted over Luarca (Northern Spain), capturing data from a port and an adjacent beach with varying turbidity and environmental conditions. Results indicates that the UDBgreen model, based on the green band reflectance, consistently outperforms in accuracy the UDBred model, based on the red band, with median absolute errors (MedAE) ranging from 0.41 to 0.67 m for depths up to 7 m. Conversely, UDBred exhibits poor performance in these waters. A composite methodology integrating multiple UAV flights is also tested through the first UAV-based implementation of the CS compositing method, originally developed for satellite imagery to address turbidity. However, it does not yield significant accuracy improvements over the traditional S model or single-image results, highlighting the influence of environmental factors and flight-specific parameters on UDB data quality. Given these findings, and considering that UAV platforms offer key operational advantages, such as higher spatial resolution, flexible acquisition timing, and better suitability for small or cloud-prone coastal areas, there is a strong need further validation of UAV-based techniques under varied coastal conditions.
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来源期刊
Coastal Engineering
Coastal Engineering 工程技术-工程:大洋
CiteScore
9.20
自引率
13.60%
发文量
0
审稿时长
3.5 months
期刊介绍: Coastal Engineering is an international medium for coastal engineers and scientists. Combining practical applications with modern technological and scientific approaches, such as mathematical and numerical modelling, laboratory and field observations and experiments, it publishes fundamental studies as well as case studies on the following aspects of coastal, harbour and offshore engineering: waves, currents and sediment transport; coastal, estuarine and offshore morphology; technical and functional design of coastal and harbour structures; morphological and environmental impact of coastal, harbour and offshore structures.
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