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谁能帮我查下这篇文章的SCI检索号，感激不尽 已有6人参与
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题名：Statistical assessment of H/A target decomposition theorems in radar polarimetry 期刊 SCIENCE CHINA Information Sciences 出版社 Science China Press, co-published with Springer ISSN 1674-733X (Print) 1869-1919 (Online) 期 Volume 53, Number 2 / 2010年2月 文章类型 Research Papers DOI 10.1007/s11432-010-0023-y 页 355-366 学科分类 计算机科学 SpringerLink Date 2010年2月9日 |
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bull_jin
木虫 (著名写手)
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4楼2010-05-29 19:00:13
bull_jin
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★ ★
polarist(金币+1):谢谢参与
zhenghaiw(金币+1):谢谢解答 2010-05-29 21:00:08
polarist(金币+1):谢谢参与
zhenghaiw(金币+1):谢谢解答 2010-05-29 21:00:08
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至少得给4个金币吧，呵呵 FN ISI Export Format VR 1.0 PT J AU Liu, T Huang, GM Wang, XS Xiao, SP AF Liu Tao Huang GaoMing Wang XueSong Xiao ShunPing TI Statistical assessment of H/A target decomposition theorems in radar polarimetry SO SCIENCE CHINA-INFORMATION SCIENCES LA English DT Article DE target decomposition theorems; H/A; characteristic parameters; statistical analysis; MLE ID SCATTERING-MODEL; SAR IMAGERY; PARAMETERS AB Target decomposition (TD) theorems have been widely applied in radar polarimetry, serving as the bridge between radar measurements and the physical parameters of a scatterer. The H/A target decomposition is one of the most suitable tools for performing data interpretation in the study and characterization of natural scatters. In this paper, the statistics of the parameters of eigenvalue, eigenvector and H/A have been analyzed via a novel method, and the probability density functions (PDF) have been obtained. It is pointed out that all these parameters can be seen as asymptotically nonbiased with respect to the number of looks. In order to reduce the biases for a small number of looks, a novel estimator for the parameters has been proposed. We give the basic theorems for accurate estimation of parameters. C1 [Liu Tao; Huang GaoMing] Naval Univ Engn, Sch Elect Engn, Wuhan 430033, Peoples R China. [Liu Tao; Wang XueSong; Xiao ShunPing] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China. RP Liu, T, Naval Univ Engn, Sch Elect Engn, Wuhan 430033, Peoples R China. EM liutao1018@sina.com FU National Natural Science Foundation of China [60901069]; Natural Science Foundation of Habei Province of China [2008CDB324] FX This work was supported by the National Natural Science Foundation of China (Grant No. 60901069), the Natural Science Foundation of Habei Province of China (Grant No. 2008CDB324). NR 28 TC 0 PU SCIENCE CHINA PRESS PI BEIJING PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA SN 1674-733X J9 SCI CHINA-INF SCI JI Sci. China-Inf. Sci. PD FEB 10 PY 2010 VL 53 IS 2 BP 355 EP 366 DI 10.1007/s11432-010-0023-y PG 12 GA 582LL UT ISI:000276598700014 ER |
2楼2010-05-29 18:57:08
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摘要: Target decomposition (TD) theorems have been widely applied in radar polarimetry, serving as the bridge between radar measurements and the physical parameters of a scatterer. The H/A target decomposition is one of the most suitable tools for performing data interpretation in the study and characterization of natural scatters. In this paper, the statistics of the parameters of eigenvalue, eigenvector and H/A have been analyzed via a novel method, and the probability density functions (PDF) have been obtained. It is pointed out that all these parameters can be seen as asymptotically nonbiased with respect to the number of looks. In order to reduce the biases for a small number of looks, a novel estimator for the parameters has been proposed. We give the basic theorems for accurate estimation of parameters. 文献类型: Article 语言: English 作者关键词: target decomposition theorems; H/A; characteristic parameters; statistical analysis; MLE KeyWords Plus: SCATTERING-MODEL; SAR IMAGERY; PARAMETERS 通讯作者地址: Liu, T (通讯作者), Naval Univ Engn, Sch Elect Engn, Wuhan 430033, Peoples R China 地址: 1. Naval Univ Engn, Sch Elect Engn, Wuhan 430033, Peoples R China 2. Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan Peoples R China 电子邮件地址: liutao1018@sina.com 出版商: SCIENCE CHINA PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA IDS 号: 582LL ISSN: 1674-733X DOI: 10.1007/s11432-010-0023-y |
5楼2010-05-29 19:00:15
6楼2010-05-29 19:02:22
