Efficient Calculation of the Kirchhoff Integral for Predicting the Bistatic Normalized Radar Cross Section of Ocean-Like Surfaces
文献类型：期刊论文
| 作者 | Liu, Huizeng1,2; Li, Qingquan1,5; Huang, Shaopeng1,5; Qiu, Hong4; Jiang, Huiping3; Yang, Chao1,5; Zhu, Ping1,2 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 61页码:11 |
| ISSN号 | 0196-2892 |
| 关键词 | Earth Data models Artificial neural networks Satellites Instruments Extraterrestrial measurements Satellite broadcasting Angular distribution models (ADMs) anisotropic factor CERES Earth's radiative budget top-of-atmosphere (TOA) |
| DOI | 10.1109/TGRS.2023.3269431 |
| 通讯作者 | Li, Qingquan(liqq@szu.edu.cn) ; Zhu, Ping(pzhu@szu.edu.cn) |
| 英文摘要 | In recent years, several novel satellite platforms and sensors have been proposed for the Earth radiation budget (ERB). Simulating the sensor-measured signals could be helpful for optimizing the settings of sensors and exploring their potential in ERB. The anisotropic factor, depicting the anisotropy of Earth's radiation, is essential in the simulation. However, developing angular distribution models (ADMs) involves complex procedures of data preparation, processing, and modeling. This study, targeting at simplifying the procedure of simulating the signals of ERB sensors, proposed a suit of models for estimating the longwave anisotropic factors directly from the Earth's radiative fluxes. The models were developed with CERES/Terra data sensed in rotating azimuth plane (RAP) mode during 2000-2005 and the artificial neural network (ANN) algorithm and tested with 12 monthly of CERES/Terra data collected in RAP and cross-track (CT) mode during 2021-2022, respectively. Models were developed for ten scene types based on Earth's surface types and compared with the operational ANN ADMs. Results showed that the longwave anisotropic factors were accurately estimated with the correlation coefficient ( $r$ ) varying between 0.84 and 0.98 and mean absolute percentage error (MAPE) within 1.20% for the test dataset, and the approach proposed in this study had comparable performance with the ANN ADMs. With the estimated anisotropic factors, the sensor-measured radiances were accurately retrieved with $r$ = 1.00 and MAPE = 0.53%. Therefore, the proposed approach is promising in accurate and efficient simulations of novel ERB platforms and sensors like the Moon-based Earth Radiation. |
| WOS关键词 | ANGULAR-DISTRIBUTION MODELS ; RADIATIVE FLUX ESTIMATION ; ENERGY SYSTEM INSTRUMENT ; PART I ; CERES ; EARTH ; SATELLITE ; CLOUDS |
| 资助项目 | National Natural Science Foundation of China[42001281] ; GuangDong Basic and Applied Basic Research Foundation[2023A1515011946] ; Moon-Based Exploration Research Equipment Purchase Project of Development and Reform Commission of Shenzhen Municipality[2106-440300-04-03-901272] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000986666500010 |
| 资助机构 | National Natural Science Foundation of China ; GuangDong Basic and Applied Basic Research Foundation ; Moon-Based Exploration Research Equipment Purchase Project of Development and Reform Commission of Shenzhen Municipality |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197764]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Qingquan; Zhu, Ping |
| 作者单位 | 1.Shenzhen Univ, Coll Civil & Transportat Engn, Space & Earth Interdisciplinary Ctr, Shenzhen 518060, Peoples R China 2.Shenzhen Univ, Tiandu Shenzhen Univ, Inst Adv Study, MNR Key Lab Geoenvironm Monitoring Great Bay Area,, Shenzhen 518060, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 4.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China 5.Shenzhen Univ, Tiandu Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Deep Space Joint Lab, Shenzhen 518060, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Huizeng,Li, Qingquan,Huang, Shaopeng,et al. Efficient Calculation of the Kirchhoff Integral for Predicting the Bistatic Normalized Radar Cross Section of Ocean-Like Surfaces[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:11. |
| APA | Liu, Huizeng.,Li, Qingquan.,Huang, Shaopeng.,Qiu, Hong.,Jiang, Huiping.,...&Zhu, Ping.(2023).Efficient Calculation of the Kirchhoff Integral for Predicting the Bistatic Normalized Radar Cross Section of Ocean-Like Surfaces.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,11. |
| MLA | Liu, Huizeng,et al."Efficient Calculation of the Kirchhoff Integral for Predicting the Bistatic Normalized Radar Cross Section of Ocean-Like Surfaces".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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