Results of a new polarization simulation

Fetrow, Matthew P.; Wellems, David; Sposato, Stephanie H.; Bishop, Kenneth P.; Caudill, Thomas R.; Davis, Michael L.; Simrell, Elizabeth R.

doi:10.1117/12.452902

Cited by 21 publications

(12 citation statements)

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“…By results of the simulation, the trends of s 0 and s 1 versus wavelength for various target temperatures, various atmospheres and various sensor declinations can be correctly predicted [4]. Jason P. Meyers has explored the in-of-plane and out-of-plane Torrance-Sparrow BRDF (f 00 , f 10 , f 20 Mueller matrix elements) as functions of the surface roughness and complex index of refraction [5].…”

Section: Introductionmentioning

confidence: 99%

Results of a new polarimetric BRDF simulation of metallic surfaces

Pan

Chen

Qian

et al. 2015

Infrared Physics & Technology

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Section: Introductionmentioning

confidence: 99%

Results of a new polarimetric BRDF simulation of metallic surfaces

Pan

Chen

Qian

et al. 2015

Infrared Physics & Technology

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“…Using known reflectance values for diffuse materials present in the scene, both diffuse and specular portions of the p-BRDF can be retrieved for glossy materials within the same scene. The modeling environment of DIRSIG, in conjunction with MODTRAN-P, is used to model the collected scene and provide for additional input values required for the p-BRDF retrieval process [2,3]. This process is demonstrated using two scenes.…”

Section: Introductionmentioning

confidence: 99%

Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications

Bartlett

Gartley

Messinger

et al. 2010

J. Appl. Remote Sens

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For sensing systems that characterize the spectro-polarimetric radiance reaching the camera, the origin of the sensed phenomenology is a complex mixture of sources. While some of these sources do not contribute to the polarimetric signature, many do such as the polarization state of the downwelled sky radiance, the target and background p-BRDF(polarimetric bidirectional reflectance distribution function), the polarization state of the upwelled path radiance, and the sensor Mueller matrix transfer function. In this paper we derive portions of the p-BRDF in terms of both the spectral diffuse and polarimetric specular components of the reflectance using an in-scene calibration technique. This process is applied to simulated data, laboratory data, and data from a field collection. Spectra of a car panel for clean and contaminated states derived using laboratory data are injected into a hyperspectral image cube. It is shown how this target can be identified using a target specific tracking vector derived from its polarimetric signature as it moves between spatial locations within a scene.

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“…al. applied a method for retriving index of refraction to LWIR hyperspectral polarimetric measurements [18]. Their method assumed a priori knowledge of downwelling radiance, surface temperature, and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Enhanced material identification using polarimetric hyperspectral imaging

Martin

Gross

2014

2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

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Polarimetric and hyperspectral imaging are two of the most frequently used remote sensing modalities. While extensive work has been done in both fields independently, relatively little work has been done using both in conjunction with one another. Combining these two common remote sensing techniques, we hope to estimate index of refraction, without a priori knoweledge of local weather conditions or object surface temperature. In general, this is an underdetermined problem, but modeling the spectral behavior of the index of refraction reduces the number of parameters needed to describe the index of refraction, and thus the reflectively. This allows additional scene parameters needed to describe the radiance signature from a target to be simulataneously solved for. The method uses spectrally resolved S 0 and S 1 radiance measurements, taken using an IFTS with a linear polarizer mounted to the front, to simultaneously solve for a materials index of refraction, surface temperature, and downwelling radiance. Measurements at multiple angles relative to the surface normal can also be taken to provide further constraining information in the fit. Results on both simulated and measured data are presented showing that this technique is largely robust to changes in object temperature.

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Results of a new polarization simulation

Cited by 21 publications

References 0 publications

Results of a new polarimetric BRDF simulation of metallic surfaces

Results of a new polarimetric BRDF simulation of metallic surfaces

Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications

Enhanced material identification using polarimetric hyperspectral imaging

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