CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”
韩炜杰, 王一岚, 郭巍. 无人机航测在风景园林中的应用研究[J]. 风景园林, 2019, 26(5): 35-40.
引用本文: 韩炜杰, 王一岚, 郭巍. 无人机航测在风景园林中的应用研究[J]. 风景园林, 2019, 26(5): 35-40.
HAN Weijie, WANG Yilan, GUO Wei. Application Research of UAV Aerial Survey in Landscape Architecture[J]. Landscape Architecture, 2019, 26(5): 35-40.
Citation: HAN Weijie, WANG Yilan, GUO Wei. Application Research of UAV Aerial Survey in Landscape Architecture[J]. Landscape Architecture, 2019, 26(5): 35-40.

无人机航测在风景园林中的应用研究

Application Research of UAV Aerial Survey in Landscape Architecture

  • 摘要: 近年来随着民用无人机的普及,无人机开始越来越多地应用于风景园林领域中。但目前大多数应用还停留在基础的航拍层面,对于应用潜力更大的航测层面,在风景园林行业中的应用相对较少,也更鲜为人知,现有研究更多聚焦于具体案例的应用方面,未能对其进行系统的认知和介绍。简要介绍无人机航测与遥感系统的构成及常见传感器类型,通过文献综合、项目实践等方法,系统地整理了国内外无人机航测相关的研究与应用进展,进而总结出无人机航测在风景园林中的应用可分为传统航测、倾斜摄影、多种传感器遥感3个方面。最后指出传统航测发展最为成熟,短时间内推广应用的可能性最大;倾斜摄影效率最高;多种传感器遥感未来开发潜力最大。以期对今后无人机在风景园林中的应用与研究有所启发。

     

    Abstract: With the popularization of civil UAVs in recent years, UAVs are frequently used in landscape architecture. However, most applications are still based on UAV aerial photography. The use of UAV aerial photogrammetry with greater application potential is relatively rare in the landscape industry and is less well known. Most researches focus on the application of specific cases and fail to systematically recognize and introduce them. This paper briefly introduces the UAV remote sensing system and common sensor types. Through literature synthesis and project practice, it systematically organizes the research and application progress of UAV aerial photogrammetry at home and abroad, then, it is concluded that the application of UAV aerial photogrammetry in landscape architecture can be divided into 3 aspects: traditional aerial photogrammetry, oblique photogrammetry, and various sensor remote sensing. Finally, it is pointed out that the development of traditional aerial photogrammetry is the most mature, the possibility of popularization and application is the largest in a short period of time, the oblique photogrammetry is the most efficient, and the long-term development potential of various sensor remote sensing is the greatest. We look forward to the promising research area of UAV-based landscape architecture.

     

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