基于模拟退火和区域划分的海表流场反演算法研究

张夏荣; 黄云仙; 严卫; 赵现斌

doi:10.3969/j.issn.0253-4193.2016.07.002

基于模拟退火和区域划分的海表流场反演算法研究

doi: 10.3969/j.issn.0253-4193.2016.07.002

解放军理工大学气象海洋学院, 江苏南京 211101

基金项目: 国家自然科学基金面上项目(41375029,41575028);国家自然科学基金青年基金项目(41505016);装备预研共用技术基金(9140A21070114JB25344)。

计量
- 文章访问数: 1017
- HTML全文浏览量: 10
- PDF下载量: 681
- 被引次数: 0
出版历程
- 收稿日期: 2015-08-17

A study of ocean surface current inversion algorithm based on simulated annealing and region partition

Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China

摘要

摘要:
经典的海洋表面流场迭代反演算法采用固定的校正系数对探测区域进行整体分析和计算,因此耗时较长且反演精度也受到了一定程度的限制。本文提出利用模拟退火算法对反演过程中的校正系数进行优化,使其能根据每一次反演的结果进行自适应的调整和改变,从而减少迭代次数;同时根据流场分布的特点,提出划分探测区域的反演方法,最终,在经典算法的基础上给出了改进的海表流场反演算法。仿真反演实验结果表明,改进后的反演算法,其时效性和精度都有了明显提高。
- 顺轨干涉SAR /
- 海洋表面流场 /
- M4S模型 /
- 模拟退火算法
Abstract:
The classical ocean surface current iterative inversion algorithm used constant correction factor to analyze and calculate the whole detection area, so it is time-consuming and the accuracy is limited. In order to improve the efficiency and accuracy of the inversion calculation, this paper used simulated annealing algorithm to optimize the correction coefficient, which can be adaptively changed according to the result of each inversion. Moreover, detection region was divided according to the characteristics of the current distribution. Finally, a modified ocean surface current inversion algorithm is proposed based on the classical method. The simulation results show that the efficiency and accuracy of the improved inversion algorithm are obviously improved.
- Along-Track Interferometric SAR /
- ATI-SAR /
- Ocean surface current /
- M4S model

HTML全文

参考文献(18)

刘巍, 张韧, 王辉赞,等. 基于卫星遥感资料的海洋表层流场反演与估算[J]. 地球物理学进展, 2012, 27(5): 1-4. Liu Wei, Zhang Ren, Wang Huizan, et al. Sea surface flow field retrieval and estimation based on satellite remote sensing data[J]. Progress in Geophysics,2012,27(5):1-4.

冯贵平, 金双根, Jose M,等. 利用卫星测高、GRACE和GOCE资料估计全球海洋表面地转流[J]. 海洋学报, 2014, 36(9):45-55. Feng Guiping, Jin Shuanggen, Jose M, et al. Global ocean surface geostrophic currents estimated from satellite altimetry, GRACE and GOCE[J]. Haiyang Xuebao, 2014,36(9):45-55.

常亮, 高郭平, 郭立新. 星载SAR海洋表层流场反演综述[J]. 海洋科学进展, 2015(1):1-4. Chang Liang, Gao Guoping, Guo Lixin. Review on ocean surface current field measurement by space-borne SAR[J]. Advances in Marine Science,2015(1):1-4.

陈大可, 许建平, 马继瑞,等. 全球实时海洋观测网(Argo)与上层海洋结构、变异及预测研究[J]. 地球科学进展, 2008, 23(1):1-7. Chen Dake, Xu Jianping, Ma Jirui, et al. Argo global observation network and studies of upper ocean structure, variability and predictability[J]. Advances in Earth Science,2008,23(1):1-7.

Paduan J, O'Donnell J, Allen A, et al. Surface current mapping in U.S. coastal waters: Implementation of a national system[R]. Arlington: Ocean, US, 2004.

Barrick D E,Evans M W,Weber B L. Ocean surface current mapped by radar[J]. Science, 1977, 198(4313):138-144.

于祥祯. 顺轨干涉SAR对海洋表面流场监测的若干问题研究[D]. 北京:中国科学院研究生院, 2012. Yu Xiangzhen. Study on some problems of ocean surface current observation by along-track interferometric SAR[D]. Beijing:Graduate University of Chinese Academy of Sciences,2012.

Goldstein R M, Zebker H A. Interferometric radar measurement of ocean surface currents[J]. Nature, 1987, 328(6132):707-709.

Romeiser R, Hartmut R. Theoretical evalution of several possible along-track InSAR modes of Terra SAR-X for ocean current measurements[J]. IEEE Trans Geosci Remote Sens, 2007, 45(1):21-35.

Romeiser R. Current measurements by airborne along-track InSAR: measuring technique and experimental results[J]. IEEE Journal of Oceanic Engineering, 2005, 30(3):552-569.

Romeiser R, Schwabish M, Schulz-Stellenfleth J, et al. Study on concepts for radar interferometric from satellites for ocean (and land) applications (KoRIOLiS)[R].Germany:University of Hamburg, 2002.

Romeiser R, Suchandt S, Runge H, et al. First analysis of TerrSAR-X along-track InSAR-derived currents fields[J]. IEEE Trans Geosci Remote Sens, 2010, 48(2):820-829.

于祥祯, 种劲松, 洪文. 顺轨干涉SAR海洋表面流场迭代反演算法[J]. 电子与信息学报, 2012(11):2660-2665. Yu Xiangzhen, Zhong Jinsong, Hong Wen. An iterative method for ocean surface current retrieval by along-track interferometric SAR[J].Journal of Electronics and Information Technology, 2012(11):2660-2665.

Romeiser R. M4S 3.2.0 user's manual[S].Germany:University of Hambury, 2008.

Metropolis N, Rosenbluth A W, Rosenbluth M N, et al.Equation of state calculations by fast computing machines[J]. Journal of Chemical Physics, 1953, 56(21):1087-1092.

庞峰. 模拟退火算法的原理及算法在优化问题上的应用[D]. 长春:吉林大学, 2006. Pang Feng. The principle of SA algorithm and algorithm's application on optimization problem[D]. Changchun:Jilin University,2006.

朱凯. 精通MATLAB神经网络[M]. 北京:电子工业出版社, 2010. Zhu Kai. Proficient in MATLAB neural network[M]. Beijing:Publishing House of Electronics Industry, 2010.

陈丽娜. 基于海洋流场的拓扑区域划分的研究[J]. 电子设计工程, 2011(8): 10-12. Chen Li'na. Research on topological region division based on ocean flow field[J]. Electronic Design Engineering, 2011(8): 10-12.

施引文献

资源附件(0)

访问统计