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题名:
A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis
作者: Yu, Xiang1,2,3,4; Liu, Qing; Liu, Xin1,2,3; Liu, Xiangyang1,2,3,4; Wang, Yebao1,2,3,4
刊名: INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN号: 0143-1161
出版日期: 2017
卷号: 38, 期号:8-10, 页码:3101-3112
关键词: PRECISION AGRICULTURE ; UAV ; SYSTEMS ; CROPS
学科分类: Remote Sensing; Imaging Science & Photographic Technology
DOI: 10.1080/01431161.2016.1230291
产权排序: [Yu, Xiang; Liu, Xin; Liu, Xiangyang; Wang, Yebao] Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China; [Yu, Xiang; Liu, Xin; Liu, Xiangyang; Wang, Yebao] Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China; [Yu, Xiang; Liu, Xin; Liu, Xiangyang; Wang, Yebao] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Yu, Xiang; Liu, Xiangyang; Wang, Yebao] Qingdao Agr Univ, Coll Resources & Environm, Qingdao, Peoples R China
通讯作者: Liu, X (reprint author), Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China. ; Liu, X (reprint author), Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China. ; Liu, X (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China. xliu@yic.ac.cn
作者部门: 海岸带信息集成与综合管理实验室
英文摘要: Unmanned aerial vehicles (UAVs)-based environmental studies are gaining space in recent years due to their advantages of minimal cost, flexibility, and very high spatial resolution. Researchers can acquire imagery according to their schedule and convenience with the option of alternating the sensors working in visible, infrared, and microwave wavelengths. The recent developments in UAVs and in the associated image-processing techniques extend the fields of UAVs application. Inherent geometric deformation of UAVs images inevitably leads to burgeoning interest in exploring the geographical registration techniques of UAVs images preprocessing. However, atmospheric correction had been generally neglected due to the low altitudes of UAVs platforms. The path radiance of low-latitude atmosphere misleads the reflectance of target objects. Thus, a valid atmospheric correction is essential in the cases where vegetation indices (VIs) are adopted in vegetation monitoring. The off-the-shelf atmospheric correction algorithms adopted in satellite-based remote sensing are typically ill-suited for UAVs-based images due to the distinctly different altitudes and radiation transfer modes. This article identified the effect of atmospheric attenuation for spectral data collected by UAVs sensors of different altitudes and developed a physical-based atmospheric correction algorithm of UAVs images. Field-measured reflectance spectrum was essential in modelling. A sunny and dry day and a flat terrain were the two prerequisites to ensure the general application of the developed algorithm. A case study was subsequently carried out to verify the utility of the developed algorithm, and the results showed that VIs based on the UAVs images of different altitudes had a similar ability in vegetation assessment as groundbased recordings. However, the assessment accuracy could be clearly improved by using the developed atmospheric correction algorithm.
研究领域[WOS]: Remote Sensing ; Imaging Science & Photographic Technology
项目资助者: Key Research Program of the Chinese Academy of Sciences(NSFC41371483 ; KZZD-EW-14)
关键词[WOS]: PRECISION AGRICULTURE ; UAV ; SYSTEMS ; CROPS
文章类型: Article
收录类别: SCI ; ISTP
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000397995100061
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/22038
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

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作者单位: 1.Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China
2.Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
4.Qingdao Agr Univ, Coll Resources & Environm, Qingdao, Peoples R China

Recommended Citation:
Yu, Xiang,Liu, Qing,Liu, Xin,et al. A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(8-10):3101-3112.
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文件名: A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis.pdf
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