Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera

doi:10.3390/rs13091852

	Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera
	Wang, Yiren 1,4; Liu, Dong 4; Xie, Wanyi 1,4; Yang, Ming 5; Gao, Zhenyu 4; Ling, Xinfeng 3; Huang, Yong 2; Li, Congcong 5; Liu, Yong 4; Xia, Yingwei 4
刊名	REMOTE SENSING
	2021-05-01
卷号	13
关键词	ground-based cloud observation thermal-infrared camera cloud detection all-sky-view image
DOI	10.3390/rs13091852
通讯作者	Xia, Yingwei(xiayw@aiofm.ac.cn)
英文摘要	The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics information. However, most of this equipment cannot perform continuous observations during the day and night, and their field of view (FOV) is also limited. To address these issues, this work proposes a day and night clouds detection approach integrated into a self-made thermal-infrared (TIR) all-sky-view camera. The TIR camera consists of a high-resolution thermal microbolometer array and a fish-eye lens with a FOV larger than 160 degrees. In addition, a detection scheme was designed to directly subtract the contamination of the atmospheric TIR emission from the entire infrared image of such a large FOV, which was used for cloud recognition. The performance of this scheme was validated by comparing the cloud fractions retrieved from the infrared channel with those from the visible channel and manual observation. The results indicated that the current instrument could obtain accurate cloud fraction from the observed infrared image, and the TIR all-sky-view camera developed in this work exhibits good feasibility for long-term and continuous cloud observation.
资助项目	International Partnership Program of the Chinese Academy of Sciences[116134KYSB20180114] ; Key Collaborative Research Program of the Alliance of International Science Organizations[ANSO-CR-KP-2020-09] ; CASHIPS Director's Fund[YZJJ2020QN34]
WOS关键词	COVER ; CLASSIFICATION ; SEGMENTATION ; TEMPERATURE ; IRRADIANCE ; IMAGERY ; SYSTEM
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000650752500001
资助机构	International Partnership Program of the Chinese Academy of Sciences ; Key Collaborative Research Program of the Alliance of International Science Organizations ; CASHIPS Director's Fund
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/122209]
专题	中国科学院合肥物质科学研究院
通讯作者	Xia, Yingwei
作者单位	1.USTC, Sci Isl Branch, Grad Sch, Hefei 230026, Peoples R China 2.Anhui Prov Meteorol Sci Res Inst, Hefei 230031, Peoples R China 3.Shouxian Natl Climatically Observ, Huainan 232200, Peoples R China 4.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China 5.Civil Aviat Adm China, Anhui Air Traff Management Bur, Hefei 230094, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yiren,Liu, Dong,Xie, Wanyi,et al. Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera[J]. REMOTE SENSING,2021,13.
APA	Wang, Yiren.,Liu, Dong.,Xie, Wanyi.,Yang, Ming.,Gao, Zhenyu.,...&Xia, Yingwei.(2021).Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera.REMOTE SENSING,13.
MLA	Wang, Yiren,et al."Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera".REMOTE SENSING 13(2021).