Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

doi:10.3390/su11040978

	Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform
	Guo, Yahui 1; Senthilnath, J.2; Wu, Wenxiang 3; Zhang, Xueqin 3; Zeng, Zhaoqi 3; Huang, Han 4
刊名	SUSTAINABILITY
	2019-02-02
卷号	11 期号:4 页码:24
关键词	UAV multispectral images radiometric calibration linear regression method universal calibration equation
ISSN号	2071-1050
DOI	10.3390/su11040978
通讯作者	Wu, Wenxiang(wuwenxiang2018@163.com)
英文摘要	Unmanned aerial vehicle (UAV) equipped with multispectral cameras for remote sensing (RS) has provided new opportunities for ecological and agricultural related applications for modelling, mapping, and monitoring. However, when the multispectral images are used for the quantitative study, they should be radiometrically calibrated, which accounts for atmospheric and solar conditions by converting the digital number into a unit of scene reflectance that can be directly used in quantitative remote sensing (QRS). Indeed, some of the present applications using multispectral images are processed without precise calibration or with coarse calibration. The radiometric calibration of images from the UAV platform is quite difficult to perform, as the imaging condition is different for every single image. Thus, a standard procedure is necessary for a systematical radiometric calibration method to generate multispectral images with unit reflectance. Further, these images can be used to calculate vegetation indices, which are useful in monitoring vegetation phenology. These vegetation indices are considered as a potential screening tool to know the plant status, such as nitrogen, chlorophyll content, green leaf biomass, etc. This study focuses on a series of radiometric calibrations for multispectral images acquired from different flight altitudes, time instants, and weather conditions. Radiometric calibration for multispectral images is performed using the linear regression method (LRM). The main contribution involves (1) affirming the optimal calibration targets and assessing the atmospheric effects of different flights using the single scene of images; (2) to evaluate the effects of mosaic images with the LRM; (3) to propose and validate a universal calibration equation for the Mini Multiple Camera Array (MCA) 6 camera. The obtained results show that the three calibration targets, such as the dark, moderate, and white, are better for the Mini MCA 6 camera. The atmospheric effects increase with the increase of flight altitudes for each band, and the camera effect is of a fixed number. However, the camera effect and atmospheric attenuation to reflectance from different altitudes were relatively low considering the accuracy assessment. The performance measures namely, mean absolute deviation (indicated as V) and root mean square error (RMSE) between single and mosaic images show that the mosaic will not influence too much reflectance. The LRM performs well in all weather conditions. The universal calibration equation is suitable to apply to the images acquired during a sunny day and even with a little cloud.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] ; National Key Research and Development Program of China[2016YFA0602402]
WOS关键词	UNMANNED AERIAL VEHICLE ; GROSS PRIMARY PRODUCTION ; ATMOSPHERIC CORRECTION ; SATELLITE IMAGERY ; VEGETATION ; RANGELAND ; ACCURACY ; LAI
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000460819100038
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48581]
专题	中国科学院地理科学与资源研究所
通讯作者	Wu, Wenxiang
作者单位	1.Capital Normal Univ, Coll Geospatial Informat Sci & Technol, Beijing 100048, Peoples R China 2.ASTAR, Inst Infocomm Res, Singapore 138632, Singapore 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Guo, Yahui,Senthilnath, J.,Wu, Wenxiang,et al. Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform[J]. SUSTAINABILITY,2019,11(4):24.
APA	Guo, Yahui,Senthilnath, J.,Wu, Wenxiang,Zhang, Xueqin,Zeng, Zhaoqi,&Huang, Han.(2019).Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform.SUSTAINABILITY,11(4),24.
MLA	Guo, Yahui,et al."Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform".SUSTAINABILITY 11.4(2019):24.