Optimal reception of partially polarized waves

Kostinski, A. B.; James, B.D.; Boerner, W.-M.

doi:10.1364/josaa.5.000058

Cited by 61 publications

(15 citation statements)

References 7 publications

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“…These were then used along with the degree of polarization extrema to compute the received power extrema and dynamic range (Kostinski et al 1988, Touzi et al 1992. The ratio of the received power extrema yields the van Zyl coefficient of variation which was also determined for each stand.…”

Section: Polarimetric Variablesmentioning

confidence: 99%

Estimating boreal forest species type with airborne polarimetric synthetic aperture radar

Wollersheim

Collins

Leckie

2011

International Journal of Remote Sensing

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Section: Polarimetric Variablesmentioning

confidence: 99%

Estimating boreal forest species type with airborne polarimetric synthetic aperture radar

Wollersheim

Collins

Leckie

2011

International Journal of Remote Sensing

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“…Transformation of the covariance matrix to other polarization bases is accomplished by a unitary similarity transformation (28) (27) Thus optimum polarizations depend on interchannel covariances. For comparison, the conditions for optimum polarizations as given by [11] for KPT are listed next: for cross-polar optimum polarizations (20) where and for copolar optimum polarizations …”

Section: Covariance Matrix For Snptmentioning

confidence: 99%

“…The Lagrange multiplier method used here is similiar to that offered by [19] and [20]. Reciprocity is now invoked, i.e., SHY = SVH which simplifies Wand w:…”

Section: Copolar Optimum Polarizationsmentioning

confidence: 99%

Specular null polarization theory: applications to radar meteorology

Hubbert

Bringi

1996

IEEE Trans. Geosci. Remote Sensing

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The bilinear polarization transfer function that relates incident and scattered polarization ratios in the LRH is (see Appendix A EN'The two polarization ratios are related by Equation (7) can be used as a common starting point to develop and compare the optimum polarizations of radar, optic and specular null polarization theories (SNPT) as was done by Hubbert [5]. The optimum polarizations in traditional radar polarimetry, henceforth called Kennaugh's polarization theory (KPT), called cross-polar nulls are the equivalent of the eigenpolarizations in optic polarimetry. We note however, that the optic eigenpolarizations are not the same polarization states as the KPT cross-polar nulls. In other words, for the same coherent scatterer different transmit polarizations will produce nulls in the "cross-polar" powers as is defined in optic polarimetry, KPT and SNPT. Using (7) the eigenpolarizations

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“…Using the numerical example given in Kostinski et al [41], the intensity spectral plots tI(+,'r)II = pR (6. 33) for the adjustable coherent intensity term as functions of orientation angle (+) and ellipticity ('r) is presented in Fig.…”

Section: =1mentioning

confidence: 99%

<title>Basic equations of radar polarimetry and its solutions: the characteristic radar-polarization states for the coherent and partially polarized cases</title>

Boerner

Yan

1990

SPIE Proceedings

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ABSCA comprehensive overview of the basic principles of radar polarimetry is presented. The relevant fundamental field equations are first provided in order to introduce the polarization state formulations of electromagnetic waves in the frequency domain, including the Jones and the Stokes vector formalism and its presentation on the Poincaré sphere and on relevant map projections. In a next step, the scattering matrices [SI and EM] are given together with change of polarization bases transformation operators, where upon the optimal (characteristic) polarization states are determined for the coherent and partially coherent cases, respectively. This chapter is concluded with a set of simple examples. . IN'rROLXJCTICNRadar polarimetry, i.e., utilization of complete electromagnetic vector wave information, has become an indispensible tool in modern electromagnetic sensor technology, both in the civil and the military sectors, and increasingly more in environmental remote sensing of the terrestrial and planetary atmospheres and crusts. From the outset, we emphasize that by incorporating coherent polari-metric phase and amplitude information into radar signal and image processing, one can anticipate and already is witnessing a breakthrough which is at least comparable to that brought about by the advent of holography and computer assisted (Radon projection) tomography and its applications to Syntheti c Aperture Radar (SAR) and Inve rse Syntheti c Aperture Radar ( ISAR).In early RADAR (R&lio Detection And Ranging) only amplitude information of the electromagnetic wave at a suitable frequency was utilized which, since its inception in the late twenties, has become a key element in civil and military operations on land, at sea, and in the air. Then, some forty to fifty years later, it was possible to build wide-band radar systems which, in addition to frequency and amplitude, also utilize relative and absolute phase information for resolving physical features of scatterers and the background environment (vehicles, ships, aircraft, space objects, terrestrial and planetary surface structures). The increased resolution capability has provided the means of extending the original RADAR concept of radio detection and ranging to include capabilities for high resolution mapping, profiling, and imaging unrelated to resolution techniques for carrying out traditional radar tasks of search, track, and weapon control in increasingly difficult surveillance environments with increasing simultaneous target camouflaging capabilities; in addition to amplitude, frequency, relative and absolute target phase also complete coherent polarization information must be incorporated into the target versus background clutter image contrast enhancement algorithms.Here, the electromagnetic inverse problem is considered. This is one of the most formidable problelms, 16 / SPIE Vol. 1317 Polarimetry: Radar, Infrared, Visible, Ultraviolet, and X-Ray (1990) Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/25/2016 Terms of Use: http://s...

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Optimal reception of partially polarized waves

Cited by 61 publications

References 7 publications

Estimating boreal forest species type with airborne polarimetric synthetic aperture radar

Estimating boreal forest species type with airborne polarimetric synthetic aperture radar

Specular null polarization theory: applications to radar meteorology

<title>Basic equations of radar polarimetry and its solutions: the characteristic radar-polarization states for the coherent and partially polarized cases</title>

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