Reconstruction of a leaking gas cloud from a passive FTIR scanning remote-sensing imaging system
文献类型：期刊论文
| 作者 | Hu, Yunyou1,2; Xu, Liang2 ; Shen, Xianchun2; Jin, Ling2; Xu, Hanyang2; Deng, Yasong1,2; Liu, Jianguo2; Liu, Wenqing2
|
| 刊名 | APPLIED OPTICS
 |
| 出版日期 | 2021-10-20 |
| 卷号 | 60 |
| ISSN号 | 1559-128X |
| DOI | 10.1364/AO.439086 |
| 通讯作者 | Xu, Liang(xuliang@aiofm.ac.cn) |
| 英文摘要 | The concentration-path-length product (CL) image of the leaking gas cloud measured by the passive Fourier transform infrared (FTIR) scanning remote-sensing imaging system has a low resolution. Gas cloud diffusion is affected by wind speed and direction, which makes it difficult to trace the source of a leakage. Therefore, we propose a method to reconstruct the CL image of the leaking gas cloud applied to the passive FTIR scanning remote-sensing imaging system. First, bicubic interpolation is employed to upsample the low-resolution CL image of gas clouds. Second, the maximum noise-equivalent concentration-path-length (NECL) product is used as a threshold to segment the high-resolution gas cloud image. Third, image morphology processing and the evaluation criteria of the leaking gas cloud are applied to detect the leaking gas cloud. Finally, the high-resolution CL image of the leaking gas cloud is superimposed onto the background image. The effectiveness of the reconstruction method is proven by the SF6 remote-sensing experiment and simulation. The results show that the proposed method should be effectively implemented to reconstruct the high-resolution CL image of the leaking gas cloud. The reconstructed leaking gas cloud plume, as well as the location of the leakage source, are quite obvious. The reconstruction method has been successfully applied to passive FTIR scanning remote-sensing imaging systems, with high accuracy, in real time, and with robustness. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement |
| WOS关键词 | THERMAL EMISSION-SPECTROSCOPY ; INFRARED SPECTROMETRY ; VOLCANIC SO2 ; INTERPOLATION ; SUPERRESOLUTION ; AIR |
| 资助项目 | National Key Research and Development Program of China[2019YFF0303400] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC016] ; National Natural Science Foundation of China[41941011] |
| WOS研究方向 | Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:000709548800019 |
| 出版者 | OPTICAL SOC AMER |
| 资助机构 | National Key Research and Development Program of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/125729]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Xu, Liang |
| 作者单位 | 1.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China 2.Chinese Acad Sci, Key Lab Environm Opt & Technol, Anhui Inst Opt & Fine Mech, Hefei 230031, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Yunyou,Xu, Liang,Shen, Xianchun,et al. Reconstruction of a leaking gas cloud from a passive FTIR scanning remote-sensing imaging system[J]. APPLIED OPTICS,2021,60. |
| APA | Hu, Yunyou.,Xu, Liang.,Shen, Xianchun.,Jin, Ling.,Xu, Hanyang.,...&Liu, Wenqing.(2021).Reconstruction of a leaking gas cloud from a passive FTIR scanning remote-sensing imaging system.APPLIED OPTICS,60. |
| MLA | Hu, Yunyou,et al."Reconstruction of a leaking gas cloud from a passive FTIR scanning remote-sensing imaging system".APPLIED OPTICS 60(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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