Special Issue "Polarimetric SAR Techniques and Applications"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computer Science and Electrical Engineering".

Deadline for manuscript submissions: 15 April 2017

Special Issue Editors

Guest Editor
Prof. Dr. Carlos López-Martínez

Signal Theory and Communications Dept.,Universitat Politècnica de Catalunya—Bardelona Tech. (UPC), Campus Nord (D3-203), Jordi Girona, 1-3, 08034 Barcelona, Spain
Website | E-Mail
Phone: +34-93-401-6785
Interests: remote sensing; synthetic aperture radar; polarimetry; interferometry; signal and image processing; quantitative information retrieval
Guest Editor
Prof. Dr. Juan M. Lopez-Sanchez

DFISTS - IUII, Universidad de Alicante, P.O.Box 99, E-03080 Alicante, Spain
Website | E-Mail
Phone: +34 965909597
Fax: +34 965909750
Interests: Polarimetry; Interferometry; Polarimetric SAR interferometry; Agriculture; Subsidence

Special Issue Information

Dear Colleagues,

During the last two decades, an increasing number of spaceborne Synthetic Aperture Radar (SAR) systems have been equipped with polarimetric capabilities, as for instance, ALOS and ALOS-2, Radarsat-2, TerraSAR-X, Envisat-ASAR, Sentinel-1a/b, etc. Future planned mission will still present this type of diversity where some examples are RCM, SAOCOM and SAOCOM-CS, Cosmo-Skymed 2nd generation or PAZ. In addition, an increasing number of airborne and even ground-based SAR systems are adopting polarimetric capabilities.

As it has been demonstrated extensively in the past, polarimetry makes it possible to have sensitivity to the structural and geometric properties of the targets under observation, allowing a more accurate identification and classification than non-polarimetric systems. Then, polarimetry has made possible new applications, especially in quantitative extraction of new bio and geophysical parameters. It has been also shown that the combination of polarimetry and interferometry makes it possible an unprecedented sensitivity to the vertical structure of semi-transparent media, such as crops or forests.

Consequently, SAR polarimetry has been an active and fruitful field of research in Earth observation. Besides the development of applications, many researchers have also focused their efforts in theoretical aspects or physical modelling to make SAR polarimetry a truly operative remote sensing technique.

The aim of this Special Issue is to present the state of the art in SAR Polarimetry, ranging from theory and physical modeling to final applications, but also to show the current and futures challenges of SAR Polarimetry with the availability of new sources of data. Therefore, this Special Issue puts also the emphasis on studies for the exploitation of data provided by the new polarimetric space borne SAR sensors, which include additional frequency bands, interferometric capability, enlarged spatial coverage, high spatial resolution and/or shorter revisit times.

This Special Issue of the journal Applied Sciences, “Polarimetric SAR Techniques and Applications”, aims to attract novel contributions covering a wide range of aspects related to PolSAR, from theory and techniques to applications. Our topics of interest include, but are not limited to:
• Fundamental theory of SAR polarimetry
• New processing techniques for PolSAR data: calibration, filtering, classification, etc.
• New or improved target decompositions theorems for PolSAR data,
• Operational or future applications of PolSAR data,
• Combination of PolSAR with interferometry, differential interferometry or other sources of diversity,
• Time series exploitation and change detection based on PolSAR data,
• Data fusion among PolSAR sensors or with other type of data.

Prof. Juan M. Lopez-Sanchez
Prof. Carlos Lopez-Martinez
Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs).

Published Papers (1 paper)

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Research

Open AccessArticle Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images
Appl. Sci. 2017, 7(2), 193; doi:10.3390/app7020193
Received: 25 December 2016 / Revised: 7 February 2017 / Accepted: 8 February 2017 / Published: 16 February 2017
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Abstract
In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill
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In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill detection algorithms is the classification between mineral and biogenic oil, we focus on quantitatively analyzing and comparing fully and compact polarimetric satellite synthetic aperture radar (SAR) modes to detect hydrocarbon slicks over the sea surface, discriminating them from weak-damping surfactants, such as biogenic slicks. The experiment was conducted on quad-pol SAR data acquired during the Norwegian oil-on-water experiment in 2011. A universal procedure was used to extract the features from quad-, dual- and compact polarimetric SAR modes to rank different polarimetric SAR modes and common supervised classifiers. Among all the dual- and compact polarimetric SAR modes, the π/2 mode has the best performance. The best supervised classifiers vary and depended on whether sufficient polarimetric information can be obtained in each polarimetric mode. We also analyzed the influence of the number of polarimetric parameters considered as inputs for the supervised classifiers, onto the detection/discrimination performance. We discovered that a feature set with four features is sufficient for most polarimetric feature-based oil spill classifications. Moreover, dimension reduction algorithms, including principle component analysis (PCA) and the local linear embedding (LLE) algorithm, were employed to learn low dimensional and distinctive information from quad-polarimetric SAR features. The performance of the new feature sets has comparable performance in oil spill classification. Full article
(This article belongs to the Special Issue Polarimetric SAR Techniques and Applications)
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