Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite
文献类型：期刊论文
| 作者 | Xu, Lingling2,3; Xiong, Wei2 ; Yi, Weining2; Qiu, Zhenwei2; Liu, Xiao2; Zhang, Dongying2; Fang, Wei2; Li, Zhengqiang4; Hou, Weizhen4; Lin, Jun1
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| 刊名 | REMOTE SENSING
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| 出版日期 | 2022-09-01 |
| 卷号 | 14 |
| 关键词 | Synchronization Monitoring Atmospheric Corrector (SMAC) Gao Fen Duo Mo (GFDM) synchronization atmospheric correction |
| DOI | 10.3390/rs14174427 |
| 通讯作者 | Cui, Wenyu(cuiwenyu@aiofm.ac.cn) |
| 英文摘要 | Atmospheric conditions vary significantly in terms of the temporal and spatial scales. Therefore, it is critical to obtain atmospheric parameters synchronized with an image for atmospheric correction based on radiative transfer calculation methods. On 3 July 2020, the high resolution and multimode imaging satellite, Gao Fen Duo Mo (GFDM), which was the first civilian high-resolution remote sensing satellite equipped with the Synchronization Monitoring Atmospheric Corrector (SMAC), was launched. The SMAC is a multispectral and polarization detection device that is used to retrieve atmospheric parameters that are time-synchronized with the image sensor of GFDM in the same field-of-view. On the basis of the atmospheric parameters obtained from the SMAC, a synchronization atmospheric correction (Syn-AC) method is proposed to remove the influence of the atmosphere and the adjacency effects to retrieve the surface reflectance. The Syn-AC method was applied in the experiments of synchronous atmospheric correction for GFDM images, where the surface reflectance retrieved via the Syn-AC method was compared with the field-measured values. In addition, the classical correction method, the FLAASH, was applied in the experiments to compare its performance with that of the Syn-AC method. The results indicated that the image possessed better clarity and contrast with the blurring effect removed, and the multispectral reflectance was in agreement with the field-measured spectral reflectance. The deviations between the reflectance retrievals of Syn-AC and the field-measured values of the selected targets were within 0.0625, representing a higher precision than that of the FLAASH method (the max deviation was 0.2063). For the three sites, the mean relative error of Syn-AC was 19.3%, and the mean relative error of FLAASH was 76.6%. Atmospheric correction based on synchronous atmospheric parameters can improve the quantitative accuracy of remote sensing images, and it is meaningful for remote sensing applications. |
| WOS关键词 | AEROSOL PRODUCTS ; WATER-VAPOR ; ALGORITHM ; RETRIEVAL ; LAND ; SIMULATION ; RADIANCE |
| 资助项目 | GF-7 Project[30-Y20A010-9007-17/18] ; Aerospace Science and Technology Innovation and Application Research Project[2022000351] ; National Natural Science Foundation of China[41871269] |
| 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:000851963200001 |
| 资助机构 | GF-7 Project ; Aerospace Science and Technology Innovation and Application Research Project ; National Natural Science Foundation of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/128825]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Cui, Wenyu |
| 作者单位 | 1.China Ctr Resources Satellite Data & Applict, Beijing 100094, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China 5.Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Lingling,Xiong, Wei,Yi, Weining,et al. Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite[J]. REMOTE SENSING,2022,14. |
| APA | Xu, Lingling.,Xiong, Wei.,Yi, Weining.,Qiu, Zhenwei.,Liu, Xiao.,...&Cui, Wenyu.(2022).Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite.REMOTE SENSING,14. |
| MLA | Xu, Lingling,et al."Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite".REMOTE SENSING 14(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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