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Least-Squares Estimation for Pseudo Quad-Pol Image Reconstruction from Linear Compact Polarimetric SAR

Yin, Junjun and Papathanassiou, Konstantinos and Yang, Jian and Chen, Peng (2019) Least-Squares Estimation for Pseudo Quad-Pol Image Reconstruction from Linear Compact Polarimetric SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (10), pp. 3746-3758. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2019.2910395 ISBN 1939-1404 ISSN 1939-1404

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Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8703793

Abstract

Compact polarimetry is a hybrid dual-polarization imaging mode, which is used to enable wide swath coverages and provide more polarimetric information compared with the conventional dual-polarimetric imaging modes (HH/HV and VH/VV). In applications of compact polarimetric synthetic aperture radar (Pol-SAR), pseudo quad-polarimetric (quad-pol) image reconstruction is an important technique. In this study, we propose a least-squares (LS) based method to estimate the quad-pol covariance elements for the linear π/4 compact polarimetric mode. Different from existing quad-pol reconstruction approaches, which use an iterative approach to refine the model solution based on multi-look data, the LS method uses a set of data points to best fit the reconstruction model and is applicable to both multi-look and single-look complex data. In this study, a decomposition-based three-component reconstruction model is exploited to construct the system of non-linear equations. Then, the minimization problem is addressed in a local window for the cross-polarized term, which is optimized with bound constraints. Furthermore, the $m - {\alpha _s}$ decomposition for the linear compact mode is developed, which is used to approximate the reconstruction model parameter for the LS model function. Experiments are performed on C-band RADARSAT-2 data collected over agriculture fields, an urban area, and an area with complex terrain types. In comparison with the iterative-based methods, the LS-based reconstruction method shows its superiority in estimating both the cross-polarized term and the co-polarized phase difference.

Item URL in elib:https://elib.dlr.de/131505/
Document Type:Article
Title:Least-Squares Estimation for Pseudo Quad-Pol Image Reconstruction from Linear Compact Polarimetric SAR
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Yin, JunjunUNSPECIFIEDUNSPECIFIED
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Yang, JianUNSPECIFIEDUNSPECIFIED
Chen, PengUNSPECIFIEDUNSPECIFIED
Date:10 October 2019
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.1109/JSTARS.2019.2910395
Page Range:pp. 3746-3758
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Series Name:IEEE Xplore
ISSN:1939-1404
ISBN:1939-1404
Status:Published
Keywords:Least squares (LS), linear compact polarimetry (CP), model-based decomposition, pseudo quad-polarimetric (quad-pol) image reconstruction, synthetic aperture radar (SAR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Sicherheitsrelevante Erdbeobachtung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:29 Nov 2019 14:46
Last Modified:29 Nov 2019 14:46

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