YIC-IR  > 海岸带信息集成与综合管理实验室
A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis
Yu, Xiang1,2,3,4; Liu, Qing; Liu, Xin1,2,3; Liu, Xiangyang1,2,3,4; Wang, Yebao1,2,3,4; 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
2017
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
卷号38期号:8-10页码:3101-3112
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
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.
关键词Precision Agriculture Uav Systems Crops
作者部门海岸带信息集成与综合管理实验室
学科领域Remote Sensing ; Imaging Science & Photographic Technology
DOI10.1080/01431161.2016.1230291
项目资助者Key Research Program of the Chinese Academy of Sciences(NSFC41371483 ; KZZD-EW-14)
URL查看原文
收录类别SCI ; ISTP
关键词[WOS]PRECISION AGRICULTURE ; UAV ; SYSTEMS ; CROPS
文章类型Article
语种英语
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000397995100061
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/22038
专题海岸带信息集成与综合管理实验室
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
第一作者单位中国科学院烟台海岸带研究所
推荐引用方式
GB/T 7714
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.
APA Yu, Xiang.,Liu, Qing.,Liu, Xin.,Liu, Xiangyang.,Wang, Yebao.,...&Liu, X .(2017).A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(8-10),3101-3112.
MLA Yu, Xiang,et al."A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.8-10(2017):3101-3112.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A physical-based atm(1828KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yu, Xiang]的文章
[Liu, Qing]的文章
[Liu, Xin]的文章
百度学术
百度学术中相似的文章
[Yu, Xiang]的文章
[Liu, Qing]的文章
[Liu, Xin]的文章
必应学术
必应学术中相似的文章
[Yu, Xiang]的文章
[Liu, Qing]的文章
[Liu, Xin]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。