In this paper, we will discuss a novel technology, which we have recently developed for automatic target detection and recognition by polarimetric imaging systems. This technology consists of an approach to non-cooperative small target detection that uses statistical techniques to exploit a target's Stokes vector infrared signature. This is applicable to sensors whose signature measurements are...

This study develops a Gaussian mixture rainfall-rate estimator (GMRE) for polarimetric radar-based rainfall-rate estimation, following a general framework based on the Gaussian mixture model and Bayes least squares estimation for weather radar–based parameter estimations. The advantages of GMRE are 1) it is a minimum variance unbiased estimator; 2) it is a general estimator applicable to differ...

We have measured the polarization of fluorescence emitted by the noble gases He, Ne, Ar, Kr, and Xe following impact excitation by polarized electrons. In He, the 3P→2S transition was studied; in the heavy noble gases the np(n11)p D3→np(n11)s P2 transitions were analyzed. We investigated these transitions as candidates for efficient optical electron polarimetry and found that, because of their ...

In this thesis, spectral analysis techniques are generalized to process polari-metric multibaseline interferometric SAR data. These polarimetric arraysignal processing algorithms are described in a rigorous mathematical wayand applied to urban areas. They permit the estimation of the reflectorheight, the scattering mechanism, and the polarimetric reflectivity. Fromsingle...

In this paper, recently conceived polarimetric array signal processing techniques are applied for producing 3D images over forested scenes from multibaseline POL-InSAR observations. Subsequently, the optimal scattering mechanisms are investigated using polarimetric decomposition algorithms. The derived structural forest parameters serve as a basis for determining the biomass. This three-dimensi...

The subsurface radar suffers from strong clutter from surface and severe wave attenuation in the underground. This paper presents a unique countermeasure to these problems using a polarimetric FM-CW radar equipped with equivalent time sensitivity control (STC) technique. We first apply the polarimetric filtering principle to suppress surface clutter, then, use an equivalent STC technique suited...

Fully polarimetric Synthetic Aperture Radar (polSAR) data analysis has wide applications for terrain and ground cover classification. SAR technology, due to its high spatial resolution and soil penetration capability, is a good choice to identify problematic areas on earthen levees. In this paper, using the entropy (H), alpha angle ( ), and eigenvalue parameters (λ), we implemented several unsu...

Our research team, Christpher Zappa (Lamont-Doherty Earth Observatory), Michael Banner (LamontDoherty Earth Observatory and University of New South Wales) and Howard Schultz (University of Massachusetts, Amherst), conducted a proof-of-concept study to assess the effectiveness of a new passive optical technique based on polarimetry. Conventional optical remote sensing techniques rely on light am...

A mathematical framework is presented for use in the experimental determination of the polarimetric response of observatory instrumentation. Elementary principles of linear algebra are applied to model the full matrix description of the polarization measurement equation by least-squares estimation of non-linear, scalar parameters. The formalism is applied to calibrate the center element of the ...

This paper describes a flexible non-Gaussian statistical method used to model polarimetric synthetic aperture radar (POLSAR) data. We outline the theoretical basis of the well-know product model as described by the class of Scale Mixture models and discuss their appropriateness for modelling radar data. The statistical distributions of several Scale mixture models are then described, including ...