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yiqianko

新虫 (初入文坛)

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亲爱的虫友们,Wishart分布情形下极化SAR图像目标CFAR检测解析方法,这篇论文电子学报18年2月发表的,请帮忙查一下EI号,顺便给个链接,谢谢啦
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nudtscf

铁杆木虫 (著名写手)

【答案】应助回帖

★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与,应助指数 +1
yiqianko: 金币+10 2019-05-16 15:32:52
yiqianko(心静_依然代发): 金币+10, 感谢应助 2019-06-11 08:43:08
心静_依然: LS-EPI+1, 感谢应助 2019-06-11 08:43:15
Polarimetric SAR Imagery Target CFAR Detection Analytical Algorithm with Wishart Distribution
Accession number: 20183305688622
Title of translation: Wishart分布情形下极化SAR图像目标CFAR检测解析方法
Authors: Zhang, Jia-Feng 1   ; Zhu, Bo 2   ; Zhang, Peng 1   ; Wang, Ming-Chun 1 ; Liu, Tao 1  
Author affiliations : 1 School of Electronic Engineering, Naval University of Engineering, Wuhan; Hubei; 430030, China
2 Institute of Information and Technology, Naval Academy of Armament, Beijing; 102200, China
Corresponding author: Liu, Tao (liutao1018@sina.com)
Source title: Tien Tzu Hsueh Pao/Acta Electronica Sinica
Abbreviated source title: Tien Tzu Hsueh Pao
Volume: 46
Issue: 2
Issue date: February 1, 2018
Publication Year: 2018
Pages: 433-439
Language: Chinese

https://www.engineeringvillage.c ... oolsinScopus=Noload
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2楼2019-05-13 09:46:18
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yiqianko

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引用回帖:
2楼: Originally posted by nudtscf at 2019-05-13 09:46:18
Polarimetric SAR Imagery Target CFAR Detection Analytical Algorithm with Wishart Distribution
Accession number: 20183305688622
Title of translation: Wishart分布情形下极化SAR图像目标CFAR检测解析方法 ...

您好,请问能打印一下Detailed results页面发到邮箱751971863@qq.com吗,谢谢啦!
3楼2019-05-16 15:31:58
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nudtscf

铁杆木虫 (著名写手)

【答案】应助回帖

Accession number: 20183305688622
Title of translation: Wishart分布情形下极化SAR图像目标CFAR检测解析方法
Authors: Zhang, Jia-Feng 1   ; Zhu, Bo 2   ; Zhang, Peng 1   ; Wang, Ming-Chun 1 ; Liu, Tao 1  
Author affiliations : 1 School of Electronic Engineering, Naval University of Engineering, Wuhan; Hubei; 430030, China
2 Institute of Information and Technology, Naval Academy of Armament, Beijing; 102200, China
Corresponding author: Liu, Tao (liutao1018@sina.com)
Source title: Tien Tzu Hsueh Pao/Acta Electronica Sinica
Abbreviated source title: Tien Tzu Hsueh Pao
Volume: 46
Issue: 2
Issue date: February 1, 2018
Publication Year: 2018
Pages: 433-439
Language: Chinese
ISSN: 03722112
CODEN: TTHPAG
Document type: Journal article (JA)
Publisher: Chinese Institute of Electronics
Abstract: The equivalent number of looks (ENL) is a key parameter that affects the constant false alarm rate (CFAR) detection performances in polarimetric synthetic aperture radar (PolSAR) imageries.At present, the estimated value of the ENL mostly is not an integer, resulting that existing CFAR detection algorithms are no longer applicable.To solve this problem, a new analytical CFAR algorithm of target detection is proposed in PolSAR imageries.Firstly, the probability density function (PDF) of multi-look polarimetric whitening filter (MPWF) metric is derived based on Wishart distribution assumption; Secondly, the analytical expression of CFAR detection threshold with respect to the ENL is obtained by integrating the PDF of MPWF metric; Finally, the CFAR detection performances of the new algorithm are compared with other CFAR detection algorithms via simulation data and AIRSAR measured data.The results show that the real false alarm probability in the new algorithm is the closest to the given constant false alarm probability, which better guarantees the hypothesis of the constant false alarm probability in the CFAR detection.
© 2018, Chinese Institute of Electronics. All right reserved.
Number of references: 20
Main heading: Probability density function
Controlled terms: Alarm systems -  Errors -  Image resolution -  Polarimeters -  Probability distributions -  Radar imaging -  Radar measurement -  Signal detection -  Synthetic aperture radar
Uncontrolled terms: Analytical expressions -  Constant false alarm rate detections -  Equivalent number of looks -  Polarimetric synthetic aperture radars -  Wishart distribution
Classification code: 716.1Information Theory and Signal Processing  -  716.2Radar Systems and Equipment  -  922.1Probability Theory  -  941.3Optical Instruments
DOI: 10.3969/j.issn.0372-2112.2018.02.024
Database: Compendex
Compilation and indexing terms, © 2019 Elsevier Inc.
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4楼2019-05-16 16:47:27
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