| Wind vector retrieval using dual polarization imagery of ASAR |
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| 作者姓名： | SONG Guiting HOU Yijun QI Peng |
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| 作者单位： | 1. Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; 2. Graduate School, Chinese Academy of Sciences, Beijing 100039, China |
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| 基金项目： | 国家自然科学基金;国家高技术研究发展计划(863计划) |
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| 摘 要： | A new algorithm for retrieving wind vector using dual polarization imagery of advanced synthetic aperture radar (ASAR) is developed and tested. Based on the combination of co-polarization and cross-polarization, this new algorithm effectively eliminates the 180° ambiguity which occurs when using single imagery of the ASAR to retrieve wind vector. This algorithm also solves the problem that the retrieval results will break down on very small spatial scales. The results retrieved from dual polarization imagery of ASAR show that the wind speed and direction are in agreement with the data from Quikscat and buoy measurements. The root mean square errors of wind direction and speed between the retrieved results and data from Quikscat are 2.21° and 0.53 m/s, respectively. Comparisons between the new method and the traditional method show that the new methods fit the buoy data and Quikscat data a little better than the traditional method in this image.
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| 关 键 词： | wind vector retrieval ASAR dual polarization |
Wind vector retrieval using dual polarization imagery of ASAR |
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| SONG Guiting,HOU Yijun,QI Peng.Wind vector retrieval using dual polarization imagery of ASAR[J].Progress in Natural Science,2006,16(11):1183-1187. |
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| Authors: | SONG Guiting HOU Yijun QI Peng |
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| Institution: | 1. Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;Graduate School, Chinese Academy of Sciences,Beijing 100039, China
2. Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China |
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| Abstract: | A new algorithm for retrieving wind vector using dual polarization imagery of advanced synthetic aperture radar (ASAR) is developed and tested. Based on the combination of co-polarization and cross-polarization, this new algorithm effectively eliminates the 180° ambiguity which occurs when using single imagery of the ASAR to retrieve wind vector. This algorithm also solves the problem that the retrieval results will break down on very small spatial scales. The results retrieved from dual polarization imagery of ASAR show that the wind speed and direction are in agreement with the data from Quikscat and buoy measurements. The root mean square errors of wind direction and speed between the retrieved results and data from Quikscat are 2.21° and 0.53 m/s, respectively. Comparisons between the new method and the traditional method show that the new methods fit the buoy data and Quikscat data a little better than the traditional method in this image. |
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| Keywords: | wind vector retrieval ASAR dual polarization |
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