The first part of this work introduces the Integral Equation Model (IEM) in order to characterize the polarimetric behaviour of backscattered signals from rough surfaces. In a second step, from the Cloude/Pottier Eigenvector/value based Polarimetric decomposition theorem, polarimetric descriptors sensitive to surface parameters are presented. The particular case of the parameter called anisotro...

The purpose of this paper is to evaluate the performance of different polarimetric rainfall estimation algorithms at C-band frequencies. The polarimetric rainfall algorithms are obtained using a wide range of measured drop size distributions with an optical disdrometer in the UK. A dense network of raingauges was used to validate the polarimetric rainfall estimates and the overall results were ...

The objective of this paper is to examine the application of single-baseline polarimetric SAR interferometry to the remote sensing and measurement of structure over forested terrain. For this, a polarimetric coherent scattering model for vegetation cover suitable for the estimation of forest parameters from interferometric observables is introduced, discussed and validated. Based on this model,...

Polarimetric data acquired by the CCRS CV-580 airborne SAR is used to assess the capability of RADARSAT-2 for operational sea ice classification. The information content of the polarimetric data is illustrated by showing how specific scattering mechanisms are portrayed by the entropy, anisotropy and α-angle features. Ice type classes are derived from the full pol data set using a complex Wishar...

Polarimetric image classification is sensitive to object orientation and scattering properties. This paper is a preliminary step to bridge the gap between visible wavelength polarimetric imaging and polarimetric SAR (POLSAR) imaging scattering mechanisms. In visible wavelength polarimetric imaging, the degree of linear polarization (DOLP) is widely used to represent the polarized component of t...

This paper presents a new approach for the discrimination of ship responses using polarimetric SAR (PolSAR) data. The PolSAR multidimensional information is analyzed using a linear Time-Frequency (TF) decomposition approach, which permits to describe the polarimetric behavior of a ship and its background area for different azimuthal angles of observation and frequencies of illumination. This pa...

When light is reflected from object surface, its spectral characteristics will be affected by the surface’s elemental composition, and its polarimetric characteristics will be governed by the surface’s roughness and conductance. Polarimetric and multispectral imaging can provide complementary discriminative information in applications such as object separation. However, few methods have been pr...

Polarimetric variables are an essential part of algorithms for improved rainfall rate estimation, attenuation correction and hydrometeor identification. In such systems the transmit polarization state changes according to some fixed pattern that is repeated. The simultaneous mode and alternating mode waveforms are commonly used in weather radars. In the simultaneous mode of operation the horizo...

A polarimetric method is devised to correct for attenuation effects at C band on reflectivity ZH and differential reflectivity ZDR measurements. An operational cross-correlation analysis is used to derive advection vectors and to displace echoes over a 5-min time step. These advected echoes are then compared with observations valid at the same time. The method assumes that the mean change in th...

[1] Five hours of detailed observations of the asymmetric bow-echo mesoscale convective system on 11–12 June 2000 during the STEPS project are presented. Data sources included polarimetric and Doppler radars, a VHF lightning mapper, and the National Lightning Detection Network. Nearly every (99%) VHF lightning source occurred within 10 km of the convective line. Charge identification within the...