Dear Colleagues,

Synthetic aperture radar (SAR) is an important remote sensing system. In addition to the well-known capability of SAR to obtain Earth surface data not reliant on solar illumination and almost at any weather condition, SAR allows investigating the inside of several volumetric targets (e.g., forests, crops, ice, dry sand), providing information not accessible by other remote sensing systems. It has been demonstrated that the use of polarimetric SAR (PolSAR) significantly improves the capabilities of single polarization algorithms when it comes to detection and parameter extraction.

This Special Issue is aimed at collecting remarkable works that explore new ways to extract information from PolSAR data. This includes theoretical and applied methodologies aimed at solving current issues when processing of PolSAR data considering different modes (quad-, dual-, compact-mode). We will cover:

• Detection and change detection theory: detectors and classifiers examining similarities between polarimetric targets using physical, algebraic or statistical methodologies;
• Systems: Novel PolSAR systems architectures, acquisition modes, etc.;
• Spectral analysis: algorithms extracting information contained in the spectrum of PolSAR data;
• Image formation and data quality improvement: polarimetric calibration, speckle filters or other algorithms aimed at improving data quality;
• Scattering models: empirical, semi-empirical, and deterministic models to improve the understanding of PolSAR data and the extraction of geo- and biophysical parameters (forward and inverse problems). This also includes the use of acquisitions with multiple baselines;
• Multi-baseline image formation: algorithms concerning the use of multiple baselines to perform tomography or more generally extract parameters from volumetric targets.

Dr. Armando Marino
Dr. Carlos Lopez-Martinez
Dr. Ferdinando Nunziata
Dr. Laurent Ferro-Famil
Guest Editors

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• Synthetic Aperture Radar (SAR)
• Polarimetry
• PolSAR
• target detection
• change detection
• spectral analysis
• multi-baseline approaches
• tomography
• bio-physical parameter estimation
• scattering models