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polarist

木虫 (著名写手)

[交流] 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

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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lybrory

新虫 (小有名气)

你去看看别人评职称的材料,有这么长的SCI号吗?嗬嗬,你错了
我说得对。
6楼2010-05-29 19:02:22
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bull_jin

木虫 (著名写手)

★ ★
polarist(金币+1):谢谢参与
zhenghaiw(金币+1):谢谢解答 2010-05-29 21:00:08
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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bull_jin

木虫 (著名写手)

★ ★
wg423(金币+2):感谢热心应助 2010-05-29 21:07:16
UT  ISI:000276598700014
哥们,是这个!
4楼2010-05-29 19:00:13
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lybrory

新虫 (小有名气)

检索

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
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