Polylogarithmic Representation of Radiative and Thermodynamic Properties of Thermal Radiation in a Given Spectral Range: II. Real-Body Radiation

Fisenko, Anatoliy I.; Lemberg, Vladimir F.

doi:10.1007/s10765-015-1982-4

Cited by 6 publications

(4 citation statements)

References 46 publications

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“…The infrared information of rocks at room temperature (around 293.16 K) is concentrated at the corresponding region of 3-18 µm. Moreover, the wavelength position around 10 µm in the TIR region is the most sensitive to the spectral radiation feature of rocks on Earth surface [26,27]. The TIR spectral information in some bands (between 3 µm and 7 µm and after 15 µm) was considerably affected by water vapour and carbon dioxide in the atmospheric environment.…”

Section: Methods 241 Data Preprocessingmentioning

confidence: 99%

Thermal-Infrared Spectral Feature Analysis and Spectral Identification of Monzonite Using Feature-Oriented Principal Component Analysis

et al. 2022

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Rock spectral analysis is an important research field in hyperspectral remote sensing information processing. Compared with the spectra in the short-wave infrared and visible–near-infrared regions, the emittance spectrum of rocks in the thermal infrared (TIR) region is highly significant for identifying some major rock-forming minerals, including feldspar, biotite, pyroxene and hornblende. Even for the same rock type, slight differences in mineral composition generally result in varying spectral signatures, undoubtedly increasing the difficulty in discriminating rock types on the Earth’s surface via TIR spectroscopy. In this study, amounts of monzonite samples from different regions were collected in the central part of Hunan Province, China, and emission spectra at 8–14 μm were measured using a portable thermal infrared spectrometer. The experimental result illustrates 13 remarkable feature positions for all the monzonite samples from different geological environments. Furthermore, by combining the extracted features with the principal component analysis (PCA) method, feature-oriented PCA was applied to establish a model for identifying monzonite accurately and quickly without performing spectral library matching and spectral deconvolution. This study provides an important method for rock type identification in the TIR region that is helpful for the rock spectral analysis, geological mapping and pixel unmixing of remote sensing images.

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Section: Methods 241 Data Preprocessingmentioning

confidence: 99%

Thermal-Infrared Spectral Feature Analysis and Spectral Identification of Monzonite Using Feature-Oriented Principal Component Analysis

et al. 2022

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“…Measurements on typical metals like Zr, Rh 13 , Ni 14 , W, Ta 15 , Nb 16 etc. show a smooth negative ë dependence of Є ) as expected from the fact that the dominant physical process that the emitted radiation undergo is self-absorption.A material, ZrC 17 , with a high melting point shows a relatively small dependence of Є ) on . Another interesting case is that of graphite nanostructure which has a constant Є ) close to 0.99 over a wide  and temperature range 18 and can be treated as a black body (BB) surface.…”

Section: Absolute Temperature Points Recoverymentioning

confidence: 99%

Absolute temperature directly from plank’s profile: A simulation

Saivihar¹

2021

jusps-A

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The measured thermal radiation from a material surface will, in general, have a wave length (\lambda) dependent scale-factor to the Planck profile (PT) from the contributions of the emissivity (Є\lambda) of the surface, the response function (A\lambda) of the measurement setup, and the emission via non-Plank processes. For obtaining the absolute temperature from such a profile, a procedure that take care of these dependencies and which relay on a temperature grid searchis proposed. In the procedure, the deviation between the Plank profiles at various temperatures and the measured spectrum that is made equal to it at a selected wavelength, by scaling, is used. The response function (A\lambda) is eliminated at the measurement stage and the polynomial dependence of the remnant scale factor mostly dominated by Є\lambda) i s extracted from the measured spectrum by identifying its optimal \lambda dependence. It is shown that when such a computation is carried out over a temperature grid, the absolute temperature can be identified from the minimum of the above deviation. Here, search for T and Є\lambda) d elinked, unlike in the leastsquare approaches that are normally employed. Code that implements the procedure is tested with simulated Planck profile to which different viable values of Є\lambda) a nd noise is incorporated. It shown that if the \lambda dependence of scale-factor is not too high, the absolute temperature can be recovered. A large \lambda dependent scale-factor and the consequent possible error in the temperature obtained can also be identified.

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“…As it was shown in [27, see the chapters 5.1, 5.2], using the polylogarithmic representation for the function 11 ( , , ) p E v v T  [28,29], the conditions (2.5) can be presented in the form:…”

Section: Optimization Task: Search For Optimized Coherent Filter Paramentioning

confidence: 99%

“…This optimization task was solved in [27]. The interval [v1, v1+∆] with a maximal value of the total energy density Ep (v, T) can be found from the following conditions: , ) [28,29], the conditions (2.5) can be presented in the form:…”

Section: Optimization Task: Search For Optimized Coherent Filter Para...mentioning

confidence: 99%

Optimal frequency band interval to increase optical temporal coherence of thermal light

Fisenko¹,

Lemberg²

2019

Appl. Phys. B

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A new optimized band-pass filter for wavelengths is proposed to increase the optical temporal coherence of thermal light. The choice of parameters for this filter is based on solving an optimization problem for finding the most intensely emitted frequency interval in the black-body radiation spectrum. The calculated frequency interval is also the narrowest band for the coherence filter for a given value of the total transmitted energy. As a result, the interval found can be used to achieve the highest possible coherent properties at a given level of total energy that has passed.The achieved coherence length values for such optimized band-pass filters are calculated.Analytical results are given for finding optimal intervals and calculating the coherence of optimized filters.Keywords: optimized band-pass filter; temporal coherence of thermal light; degree of the temporal coherence, filters for thermal radiation

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Polylogarithmic Representation of Radiative and Thermodynamic Properties of Thermal Radiation in a Given Spectral Range: II. Real-Body Radiation

Cited by 6 publications

References 46 publications

Thermal-Infrared Spectral Feature Analysis and Spectral Identification of Monzonite Using Feature-Oriented Principal Component Analysis

Thermal-Infrared Spectral Feature Analysis and Spectral Identification of Monzonite Using Feature-Oriented Principal Component Analysis

Absolute temperature directly from plank’s profile: A simulation

Optimal frequency band interval to increase optical temporal coherence of thermal light

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