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
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
2017
Volume38Issue:8-10Pages:3101-3112
KeywordPrecision Agriculture Uav Systems Crops
DOI10.1080/01431161.2016.1230291
Contribution Rank[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
Department海岸带信息集成与综合管理实验室
AbstractUnmanned 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.
Funding OrganizationKey Research Program of the Chinese Academy of Sciences(NSFC41371483 ; KZZD-EW-14)
SubtypeArticle
Indexed BySCI ; ISTP
Language英语
WOS KeywordPRECISION AGRICULTURE ; UAV ; SYSTEMS ; CROPS
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000397995100061
Citation statistics
Cited Times:25[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/22038
Collection中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
Corresponding AuthorLiu, 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
Affiliation1.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
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
A physical-based atm(1828KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu, Xiang]'s Articles
[Liu, Qing]'s Articles
[Liu, Xin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu, Xiang]'s Articles
[Liu, Qing]'s Articles
[Liu, Xin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu, Xiang]'s Articles
[Liu, Qing]'s Articles
[Liu, Xin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.