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The Beltrami SAR Framework for Multi-channel Despeckling

Amao Oliva, Joel Alfredo and Torres-Román, Deni and Yanez-Vargas, Israel and Reigber, Andreas and Jaeger, Marc (2019) The Beltrami SAR Framework for Multi-channel Despeckling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (8), pp. 2989-3003. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2019.2917086 ISSN 1939-1404

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Official URL: https://ieeexplore.ieee.org/document/8733816

Abstract

In this paper, a new framework for iterative speckle noise reduction in polarimetric synthetic aperture radar (SAR) data is introduced. Speckle is inherent to all coherent imaging systems and affects SAR imagery in the form of strong intensity variations in pixels with similar backscattering coefficients. This makes the interpretation of SAR data in several applications a difficult task. The proposed framework includes a preprocessing step capable of dealing with noise correlation usually found in single-look data. The general filtering approach is based on the Beltrami flow for denoising manifolds or images painted on manifolds. The principal contribution of this work is to adapt this approach to deal with covariance or coherency matrices instead of optical imagery. The evaluation presented suggests that this approach allows for good spatial and radiometric preservation compared to other state-of-the-art methods. Experiments are performed on the basis of synthetic and real-world experimental data. The validation of the proposed framework is accomplished using two refined error performance measures and the well-known effective number of looks measured. The source code of a parallel implementation of the proposed framework is released under the MPL 2.0 (https://www.mozilla.org/en-US/MPL/2.0/) alongside this paper.

Item URL in elib:https://elib.dlr.de/131916/
Document Type:Article
Title:The Beltrami SAR Framework for Multi-channel Despeckling
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Amao Oliva, Joel AlfredoJoel.Amao (at) dlr.dehttps://orcid.org/0000-0001-6202-1665
Torres-Román, Denidtorres (at) gdl.cinvestav.mxUNSPECIFIED
Yanez-Vargas, Israeljyanez_ptc (at) upjr.edu.mxUNSPECIFIED
Reigber, AndreasAndreas.Reigber (at) dlr.dehttps://orcid.org/0000-0002-2118-5046
Jaeger, Marcmarc.jaeger (at) dlr.deUNSPECIFIED
Date:August 2019
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.1109/JSTARS.2019.2917086
Page Range:pp. 2989-3003
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Beltrami flow, covariance matrix, estimation,image denoising, polarimetry, speckle, 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 Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Amao Oliva, Joel Alfredo
Deposited On:02 Dec 2019 14:51
Last Modified:24 Nov 2020 04:13

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