The Fully Polarimetric Imaging Radiometer SPIRA at 91 GHz

Duric, Aleksandar; Magun, A.; Murk, Axel; Mätzler, Christian; Kämpfer, Niklaus

doi:10.1109/tgrs.2008.917212

Cited by 33 publications

(15 citation statements)

References 19 publications

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“…Concerning the system optic, an ideal Gaussian beam feed horn with edge taper and taper angle from SPIRA datasheet [5], combined with a parabolic off-axis reflector, has been used. A rectangular reflector, of size 0.8 × 0.8 m (same size of the MLI) at distance R from the instrument (14 m), represented our simulated target.…”

Section: Measurements Resultsmentioning

confidence: 99%

“…The Scanning Polarimetric Imaging Radiometer (SPIRA) is a fully polarimetric imager in the 90-92 GHz band [5]. The instrument can measure simultaneously the 4 Stokes parameters for an observed scene using two orthogonally polarized receiver channels and an analog adding correlation network with 2 GHz of bandwidth.…”

Section: Radiometers Descriptionsmentioning

confidence: 99%

“…The output channels of the analog correlator network provide the four Stokes parameters (I, Q, U and V ) and the horizontal and vertical brightness temperatures [5].…”

Section: Radiometers Descriptionsmentioning

confidence: 99%

See 2 more Smart Citations

Radiometric Method for Emissivity Retrieval in High Reflective Materials

Canavero¹,

Murk²

2013

PIER

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Abstract-High reflective materials in the microwave region play a very important role in the realization of antenna reflectors for a broad range of applications, including radiometry. These reflectors have a characteristic emissivity which needs to be characterized accurately in order to perform a correct radiometric calibration of the instrument. Such a characterization can be performed by using open resonators, waveguide cavities or by radiometric measurements. The latter consists of comparative radiometric observations of absorbers, reference mirrors and the sample under test, or using the cold sky radiation as a direct reference source. While the first two mentioned techniques are suitable for the characterization of metal plates and mirrors, the latter has the advantages to be also applicable to soft materials. This paper describes how, through this radiometric techniques, it is possible to characterize the emissivity of the sample relative to a reference mirror and how to characterize the absolute emissivity of the latter by performing measurements at different incident angles. The results presented in this paper are based on our investigations on emissivity of a multilayer insulation material (MLI) for space mission, at the frequencies of 22 and 90 GHz.

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Section: Measurements Resultsmentioning

confidence: 99%

Section: Radiometers Descriptionsmentioning

confidence: 99%

See 1 more Smart Citation

Radiometric Method for Emissivity Retrieval in High Reflective Materials

Canavero¹,

Murk²

2013

PIER

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show abstract

“…By this way, the information we can get includes not only traditional radiation attributes (i.e., intensity and spectrum), but also polarization parameters such as degree of polarization, angle of polarization, degree of linear polarization and so on [3]. Polarization parameters can be used for contrast enhancing in target detection [4], man-made object imaging [5] and material classification [6].…”

Section: Introductionmentioning

confidence: 99%

Influence of surface roughness on polarization property in passive millimeter-wave imaging

Zhang

Cheng

et al. 2017

IEICE Electron. Express

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Polarimetric measurement can gain more object information when compared to traditional methods. Linear polarization ratio (LPR) of the millimeter-wave thermal emission has been presented recently and proved to be effective in material classification. The LPR classification technique can be used for the metal detection in the soil and concrete ground. The roughness has not been considered in analysing LPR properties and it may affect the classification performance. In this paper, we focus on the influence of surface roughness on LPR. By solving scattering problem, the LPR properties of different roughness parameters are investigated. Theoretical calculations indicate that the LPR value decreases with the increasing of surface roughness. In addition, the applicable scope of LPR classification technique to discriminate rough surfaces is discussed.

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“…In general, active systems are used to improve the image contrast and they usually exploit coherent illumination which causes the source of significant interference effects or speckle [6,7]. Polarimetric imaging is also one of the methods used to enhance the target discriminability because using polarization diversity allows one to obtain additional information on the shape and material of the surface and can be an additional parameter for the recognition of objects on the basis of their radio images in the millimeter-wave range [8][9][10]. The past research on polarimetric imaging focused on the dual-polarized or multi-polarized images for active imaging systems [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Linear Polarization Sum Imaging in Passive Millimeter-Wave Imaging System for Target Recognition

Kim¹,

Moon²,

Kim³

et al. 2013

PIER

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Abstract-In passive millimeter-wave imaging systems used indoors, the radiometric temperature contrast is barely enough for coarse object detection, being usually insufficient for recognition due to the absence of cold sky. The image contrast results from a combination of emissivity and reflectivity which are dependent on the dielectric constant of objects, the angle of incidence, and the polarization direction. To improve the capability of target recognition, we proposed the linear polarization sum imaging method which is based on the combination of the different polarization images for increasing the intensity contrast between the target area and the background area. In order to capture the linear polarization sum images of a metal sphere, a metal and a ceramic cup, we designed W-band quasi-optical imaging system which can generate the polarization dependent images by manually changing the linear polarization direction of its radiometer receiver from 0 to π/2 by the step size of π/8. The theoretical and experimental results of the linear polarization sum imaging show that it is capable for achieving good image quality enough to recognize the target.

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The Fully Polarimetric Imaging Radiometer SPIRA at 91 GHz

Cited by 33 publications

References 19 publications

Radiometric Method for Emissivity Retrieval in High Reflective Materials

Radiometric Method for Emissivity Retrieval in High Reflective Materials

Influence of surface roughness on polarization property in passive millimeter-wave imaging

Linear Polarization Sum Imaging in Passive Millimeter-Wave Imaging System for Target Recognition

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