Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera
文献类型：期刊论文
| 作者 | Wang, Yiren1,5; Liu, Dong1; Xie, Wanyi1,5; Yang, Ming2; Gao, Zhenyu1 ; Ling, Xinfeng4; Huang, Yong3; Li, Congcong2; Liu, Yong1; Xia, Yingwei1
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 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. |
| WOS关键词 | COVER ; CLASSIFICATION ; SEGMENTATION ; TEMPERATURE ; IRRADIANCE ; IMAGERY ; SYSTEM |
| 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 |
| 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.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China 2.Civil Aviat Adm China, Anhui Air Traff Management Bur, Hefei 230094, Peoples R China 3.Anhui Prov Meteorol Sci Res Inst, Hefei 230031, Peoples R China 4.Shouxian Natl Climatically Observ, Huainan 232200, Peoples R China 5.USTC, Sci Isl Branch, Grad Sch, Hefei 230026, 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). |
入库方式： OAI收割
来源：合肥物质科学研究院
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