INFINITE NUMBER OF LOOKS PREDICTION IN POLSAR FILTERING BY LINEAR REGRESSION

被引：1

作者：

Yahia, Mohamed ^{[1
,2
]}

Ali, Tarig ^{[1
,3
]}

Mortula, Maruf ^{[3
]}

Abdelfattah, Riadh ^{[4
,5
]}

Elmandy, Samy ^{[1
]}

机构：

[1] Amer Univ Sharjah UAE, GIS & Mapping Lab, Sharjah, U Arab Emirates

[2] Univ Gabes Tunisia, Ecole Natl Ingenieurs Gabes ENIG, Lab Rech Modelisat Anal & Commande Syst MACS, Gabes, Tunisia

[3] Amer Univ Sharjah UAE, Civil Engn Dept, Sharjah, U Arab Emirates

[4] Univ Carthage, COSIM Lab, Higher Sch Commun Tunis, Tunis, Tunisia

[5] Telecom Bretagne, ITI Dept, Telecom Inst, Brest, France

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

Linear regression; MMSE filter; prediction; PoISAR; speckle filtering; POLARIMETRIC SAR IMAGERY; SPECKLE REDUCTION; NONLOCAL MEANS; MODEL; PARAMETERS;

D O I：

10.1109/IGARSS39084.2020.9323632

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the application of the synthetic aperture radar (SAR) infinite number of looks prediction (INLP) filter is extended to polarimetric SAR (PoISAR) speckle filtering. The scalar linear regression rule has been adapted to PoISAR context in order to preserve the polarimetric information. Experimental results using simulated and airborne PoISAR data show that the proposed approach improved the polarimetric filtering criteria.

引用

页码：1327 / 1330

页数：4

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