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Journal articles on the topic 'Spectral inversion'

Author: Grafiati

Published: 1 April 2023

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1

Riethmüller, T. L., and S. K. Solanki. "The potential of many-line inversions of photospheric spectropolarimetric data in the visible and near UV." Astronomy & Astrophysics 622 (January 24, 2019): A36. http://dx.doi.org/10.1051/0004-6361/201833379.

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Our knowledge of the lower solar atmosphere is mainly obtained from spectropolarimetric observations, which are often carried out in the red or infrared spectral range and almost always cover only a single or a few spectral lines. Here we compare the quality of Stokes inversions of only a few spectral lines with many-line inversions. In connection with this, we have also investigated the feasibility of spectropolarimetry in the short-wavelength range, 3000 Å−4300 Å, where the line density but also the photon noise are considerably higher than in the red, so that many-line inversions could be p

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2

Hall, R. L. "Geometric spectral inversion." Journal of Physics A: Mathematical and General 28, no. 6 (1995): 1771–86. http://dx.doi.org/10.1088/0305-4470/28/6/028.

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Rubino, J. Germán, and Danilo Velis. "Thin-bed prestack spectral inversion." GEOPHYSICS 74, no. 4 (2009): R49—R57. http://dx.doi.org/10.1190/1.3148002.

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Prestack seismic data has been used in a new method to fully determine thin-bed properties, including the estimation of its thickness, P- and S-wave velocities, and density. The approach requires neither phase information nor normal-moveout (NMO) corrections, and assumes that the prestack seismic response of the thin layer can be isolated using an offset-dependent time window. We obtained the amplitude-versus-angle (AVA) response of the thin bed considering converted P-waves, S-waves, and all the associated multiples. We carried out the estimation of the thin-bed parameters in the frequency (a

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Hofmann, Ryan A., Kevin P. Reardon, Ivan Milic, Momchil E. Molnar, Yi Chai, and Han Uitenbroek. "Evaluating Non-LTE Spectral Inversions with ALMA and IBIS." Astrophysical Journal 933, no. 2 (2022): 244. http://dx.doi.org/10.3847/1538-4357/ac6f00.

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Abstract We present observations of a solar magnetic network region in the millimeter continuum with the Atacama Large Millimeter/submillimeter Array (ALMA) and in the Ca 8542 and Na 5896 Å spectral lines with the Interferometric Bidimensional Spectrometer (IBIS). Our goal is to compare the measurement of local gas temperatures provided by ALMA with the temperature diagnostics provided by non-LTE inversions using the STockholm inversion Code (STiC). In performing these inversions, we find that using column mass as the reference height scale, rather than optical depth, provides more reliable at

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Muyzert, Everhard. "Seabed property estimation from ambient-noise recordings: Part 2 — Scholte-wave spectral-ratio inversion." GEOPHYSICS 72, no. 4 (2007): U47—U53. http://dx.doi.org/10.1190/1.2719062.

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Having knowledge of the near-surface shear-velocity model is useful for various seismic processing methods such as shear-wave static estimation, wavefield separation, and geohazard prediction. I present a new method to derive a 2D near-surface shear-velocity model from ambient-noise recordings made at the seafloor. The method relies on inverting horizontal- and vertical-amplitude spectra of Scholte waves propagating in the seafloor. I compare the commonly used horizontal-over-vertical spectral ratio with three alternative spectral-ratio definitions through modeling. The modeling shows that the

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Qi, Haixia, Bingyu Zhu, Lingxi Kong, et al. "Hyperspectral Inversion Model of Chlorophyll Content in Peanut Leaves." Applied Sciences 10, no. 7 (2020): 2259. http://dx.doi.org/10.3390/app10072259.

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The purpose of this study is to determine a method for quickly and accurately estimating the chlorophyll content of peanut plants at different plant densities. This was explored using leaf spectral reflectance to monitor peanut chlorophyll content to detect sensitive spectral bands and the optimum spectral indicators to establish a quantitative model. Peanut plants under different plant density conditions were monitored during three consecutive growth periods; single-photon avalanche diode (SPAD) and hyperspectral data derived from the leaves under the different plant density conditions were r

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Xue, Yun, Bin Zou, Yimin Wen, Yulong Tu, and Liwei Xiong. "Hyperspectral Inversion of Chromium Content in Soil Using Support Vector Machine Combined with Lab and Field Spectra." Sustainability 12, no. 11 (2020): 4441. http://dx.doi.org/10.3390/su12114441.

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Chromium is not only an essential trace element for the growth and development of living organisms; it is also a heavy metal pollutant. Excessive chromium in farmland soil will not only cause harm to crops, but could also constitute a serious threat to human health through the cumulative effect of the food chain. The determination of heavy metals in tailings of farmland soil is an essential means of soil environmental protection and sustainable development. Hyperspectral remote sensing technology has good characteristics, e.g., high speed, macro, and high resolution, etc., and has gradually be

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Wang, Weiyan, Yungui Zhang, Zhihong Li, et al. "Fourier-Transform Infrared Spectral Inversion of Soil Available Potassium Content Based on Different Dimensionality Reduction Algorithms." Agronomy 13, no. 3 (2023): 617. http://dx.doi.org/10.3390/agronomy13030617.

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Estimating the available potassium (AK) in soil can help improve field management and crop production. Fourier-transform infrared (FTIR) spectroscopy is one of the most promising techniques for the fast and real-time analysis of soil AK content. However, the successful estimation of soil AK content by FTIR depends on the proper selection of appropriate spectral dimensionality reduction techniques. To magnify the subtle spectral signals concerning AK content and improve the understanding of the characteristic FTIR wavelengths of AK content, a total of 145 soil samples were collected in an agric

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Neukirch, Maik, Antonio García-Jerez, Antonio Villaseñor, Francisco Luzón, Jacques Brives, and Laurent Stehly. "On the Utility of Horizontal-to-Vertical Spectral Ratios of Ambient Noise in Joint Inversion with Rayleigh Wave Dispersion Curves for the Large-N Maupasacq Experiment." Sensors 21, no. 17 (2021): 5946. http://dx.doi.org/10.3390/s21175946.

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Horizontal-to-Vertical Spectral Ratios (HVSR) and Rayleigh group velocity dispersion curves (DC) can be used to estimate the shallow S-wave velocity (VS) structure. Knowing the VS structure is important for geophysical data interpretation either in order to better constrain data inversions for P-wave velocity (VP) structures such as travel time tomography or full waveform inversions or to directly study the VS structure for geo-engineering purposes (e.g., ground motion prediction). The joint inversion of HVSR and dispersion data for 1D VS structure allows characterising the uppermost crust and

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Cięszczyk, Sławomir. "A Multi-Band Integrated Virtual Calibration-Inversion Method for Open Path FTIR Spectrometry." Metrology and Measurement Systems 20, no. 2 (2013): 287–98. http://dx.doi.org/10.2478/mms-2013-0025.

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Abstract This paper addresses problems arising from in situ measurement of gas content and temperature. Such measurements can be considered indirect. Transmittance or natural radiation of a gas is measured directly. The latter method (spectral radiation measurement) is often called spectral remote sensing. Its primary uses are in astronomy and in the measurement of atmospheric composition. In industrial processes, in situ spectroscopic measurements in the plant are often made with an open path Fourier Transform Infrared (FTIR) spectrometer. The main difficulty in this approach is related to th

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11

Gafeira, R., D. Orozco Suárez, I. Milić, C. Quintero Noda, B. Ruiz Cobo, and H. Uitenbroek. "Machine learning initialization to accelerate Stokes profile inversions." Astronomy & Astrophysics 651 (July 2021): A31. http://dx.doi.org/10.1051/0004-6361/201936910.

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Context. At present, an exponential growth in scientific data from current and upcoming solar observatories is expected. Most of the data consist of high spatial and temporal resolution cubes of Stokes profiles taken in both local thermodynamic equilibrium (LTE) and non-LTE spectral lines. The analysis of such solar observations requires complex inversion codes. Hence, it is necessary to develop new tools to boost the speed and efficiency of inversions and reduce computation times and costs. Aims. In this work we discuss the application of convolutional neural networks (CNNs) as a tool to adva

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12

Yuan, Sanyi, and Shangxu Wang. "Spectral sparse Bayesian learning reflectivity inversion." Geophysical Prospecting 61, no. 4 (2013): 735–46. http://dx.doi.org/10.1111/1365-2478.12000.

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13

Hall, Richard L., and Wolfgang Lucha. "Geometric spectral inversion for singular potentials." Journal of Mathematical Physics 52, no. 11 (2011): 112102. http://dx.doi.org/10.1063/1.3657346.

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14

Koza, J., A. Kučera, J. Rybák, and H. Wöhl. "Photospheric modeling through spectral line inversion." Astronomy & Astrophysics 458, no. 3 (2006): 941–51. http://dx.doi.org/10.1051/0004-6361:20065679.

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15

Jannaud, L. R., P. M. Adler, and C. G. Jacquin. "Spectral analysis and inversion of codas." Journal of Geophysical Research 96, B11 (1991): 18215. http://dx.doi.org/10.1029/91jb01427.

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16

Agrawal, Piyush, Mark P. Rast, and Basilio Ruiz Cobo. "An Iterative OLA Method for Inversion of Solar Spectropolarimetric Data. I. Single- and Multiple-variable Inversions of Thermodynamic Quantities." Astrophysical Journal 944, no. 1 (2023): 111. http://dx.doi.org/10.3847/1538-4357/aca536.

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Abstract This paper describes an adaptation of the Optimally Localized Averaging (OLA) inversion technique, originally developed for geo- and helioseismological applications, to the interpretation of solar spectroscopic data. It focuses on inverting the thermodynamical properties of the solar atmosphere, assuming that the atmosphere and radiation field are in local thermodynamic equilibrium (LTE). We leave inversions of magnetic field and non-LTE inversions for future work. The advantage with the OLA method is that it computes solutions that are optimally depth resolved with minimal crosstalk

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17

Yin, Changming, Binbin He, Xingwen Quan, Marta Yebra, and Gengke Lai. "Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires." Remote Sensing 12, no. 21 (2020): 3590. http://dx.doi.org/10.3390/rs12213590.

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Burn severity mapping is critical to quantifying fire impact on key ecological processes and post-fire forest management. Satellite remote sensing has the advantages of high spatial-temporal resolution and large-scale monitoring and provides a more efficient way to evaluate forest fire burn severity than traditional field or aerial surveys. However, the proportion of tree canopy cover (TCC) affects the spectral signal received by remote sensing sensors from the background charcoal and ash. Consequently, not considering this factor normally leads a spectral confusion in burn severity retrieval.

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18

Li, H., T. del Pino Alemán, J. Trujillo Bueno, and R. Casini. "TIC: A Stokes Inversion Code for Scattering Polarization with Partial Frequency Redistribution and Arbitrary Magnetic Fields." Astrophysical Journal 933, no. 2 (2022): 145. http://dx.doi.org/10.3847/1538-4357/ac745c.

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Abstract We present the Tenerife Inversion Code (TIC), which has been developed to infer the magnetic and plasma properties of the solar chromosphere and transition region via full Stokes inversion of polarized spectral lines. The code is based on the HanleRT forward engine, which takes into account many of the physical mechanisms that are critical for a proper modeling of the Stokes profiles of spectral lines originating in the tenuous and highly dynamic plasmas of the chromosphere and transition region: the scattering polarization produced by quantum level imbalance and interference (atomic

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19

Milić, I., and M. van Noort. "Spectropolarimetric NLTE inversion code SNAPI." Astronomy & Astrophysics 617 (September 2018): A24. http://dx.doi.org/10.1051/0004-6361/201833382.

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Context. Inversion codes are computer programs that fit a model atmosphere to the observed Stokes spectra, thus retrieving the relevant atmospheric parameters. The rising interest in the solar chromosphere, where spectral lines are formed by scattering, requires developing, testing, and comparing new non-local thermal equilibrium (NLTE) inversion codes. Aims. We present a new NLTE inversion code that is based on the analytical computation of the response functions. We named the code SNAPI, which is short for spectropolarimetic NLTE analytically powered inversion. Methods. SNAPI inverts full St

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20

Yuan, Cheng, and Mingjun Su. "Seismic spectral sparse reflectivity inversion based on SBL-EM: experimental analysis and application." Journal of Geophysics and Engineering 16, no. 6 (2019): 1124–38. http://dx.doi.org/10.1093/jge/gxz082.

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Abstract In this paper, we propose a new method of seismic spectral sparse reflectivity inversion that, for the first time, introduces Expectation-Maximization-based sparse Bayesian learning (SBL-EM) to enhance the accuracy of stratal reflectivity estimation based on the frequency spectrum of seismic reflection data. Compared with the widely applied sequential algorithm-based sparse Bayesian learning (SBL-SA), SBL-EM is more robust to data noise and, generally, can not only find a sparse solution with higher precision, but also yield a better lateral continuity along the final profile. To inve

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21

Castro, Raúl R., M. Mucciarelli, F. Pacor, P. Federici, and A. Zaninetti. "Determination of the characteristic frequency of two dams located in the region of Calabria, Italy." Bulletin of the Seismological Society of America 88, no. 2 (1998): 503–11. http://dx.doi.org/10.1785/bssa0880020503.

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Abstract We estimated the characteristic frequency of vibration of two dams located in southern Italy using spectral amplitudes of 13 local earthquakes recorded by three-component digital stations installed on top of the structures and on the free field. One of the dams (ARV), located in Arvo lake, is an earth dam, and the other (TRP) is an arch dam located in the lake Ampollino. We separated the source and path effects from the records on the dams by using spectral ratios between the horizontal and the vertical components of motion (H/V ratios). We also calculated simultaneous inversions for

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22

de la Cruz Rodríguez, J., J. Leenaarts, S. Danilovic, and H. Uitenbroek. "STiC: A multiatom non-LTE PRD inversion code for full-Stokes solar observations." Astronomy & Astrophysics 623 (March 2019): A74. http://dx.doi.org/10.1051/0004-6361/201834464.

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The inference of the underlying state of the plasma in the solar chromosphere remains extremely challenging because of the nonlocal character of the observed radiation and plasma conditions in this layer. Inversion methods allow us to derive a model atmosphere that can reproduce the observed spectra by undertaking several physical assumptions. The most advanced approaches involve a depth-stratified model atmosphere described by temperature, line-of-sight velocity, turbulent velocity, the three components of the magntic field vector, and gas and electron pressure. The parameters of the radiativ

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23

Savage, Sabrina L., Amy R. Winebarger, Ken Kobayashi, et al. "The First Flight of the Marshall Grazing Incidence X-Ray Spectrometer (MaGIXS)." Astrophysical Journal 945, no. 2 (2023): 105. http://dx.doi.org/10.3847/1538-4357/acbb58.

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Abstract The Marshall Grazing Incidence X-ray Spectrometer (MaGIXS) sounding rocket experiment launched on 2021 July 30 from the White Sands Missile Range in New Mexico. MaGIXS is a unique solar observing telescope developed to capture X-ray spectral images of coronal active regions in the 6–24 Å wavelength range. Its novel design takes advantage of recent technological advances related to fabricating and optimizing X-ray optical systems, as well as breakthroughs in inversion methodologies necessary to create spectrally pure maps from overlapping spectral images. MaGIXS is the first instrument

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Dong, Peng. "Compensating power depletion due to stimulated Raman scattering in high-power delivery fiber via spectral inversion revisited in a view of experimental implementation." JOURNAL OF ADVANCES IN PHYSICS 14, no. 1 (2018): 5268–74. http://dx.doi.org/10.24297/jap.v14i1.7157.

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Broadband spectral inversion was proved theoretically to be an effective method to compensate power depletion due to stimulated Raman scattering in high-power delivery fiber. A critical difficulty in implementing the method in experiment is to realize broadband spectral inversion of incoherent light as Raman Stokes waves are incoherent due to their origin from spontaneous emission noise. Broadband spectral inversion of incoherent light is investigated experimentally in this article. A beam from an amplified spontaneous emission (ASE) light source is used as an approximated Raman Stokes waves i

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Abd El-Hamid, Hazem T., and Guan Hong. "Hyperspectral remote sensing for extraction of soil salinization in the northern region of Ningxia." Modeling Earth Systems and Environment 6, no. 4 (2020): 2487–93. http://dx.doi.org/10.1007/s40808-020-00829-3.

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Abstract Soil salinization affects negatively on agricultural productivity in the semiarid region of Ningxia. In this study, the performance of inversion model to determine soil salinization was assessed using some analysis and reflectance of wavelength. About 42 vegetation samples and 42 soil samples were collected for model extraction. Hyper-spectral data processing method was used to analyze spectral characteristics of different levels of salinization area vegetation. Spectral data were transformed in 16 different approaches, including root mean squares, logarithm, inversion logarithm, and

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Boatwright, John. "Regional propagation characteristics and source parameters of earthquakes in northeastern North America." Bulletin of the Seismological Society of America 84, no. 1 (1994): 1–15. http://dx.doi.org/10.1785/bssa0840010001.

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Abstract The vertical components of the S wave trains recorded on the Eastern Canadian Telemetered Network (ECTN) from 1980 through 1990 have been spectrally analyzed for source, site, and propagation characteristics. The data set comprises some 1033 recordings of 97 earthquakes whose magnitudes range from M ≈ 3 to 6. The epicentral distances range from 15 to 1000 km, with most of the data set recorded at distances from 200 to 800 km. The recorded S wave trains contain the phases S, SmS, Sn, and Lg and are sampled using windows that increase with distance; the acceleration spectra were analyze

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Shen, Lanzhi, Maofang Gao, Jingwen Yan, Qizhi Wang, and Hua Shen. "Winter Wheat SPAD Value Inversion Based on Multiple Pretreatment Methods." Remote Sensing 14, no. 18 (2022): 4660. http://dx.doi.org/10.3390/rs14184660.

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SPAD value was measured by a portable chlorophyll instrument, which can reflect the relative chlorophyll content of vegetation well. Chlorophyll is an important organic chemical substance in plants that acquires and transmits energy during photosynthesis. The continuous spectral curve of winter wheat can be obtained rapidly in a specific band range by using hyperspectral remote sensing technology to estimate the SPAD value of winter wheat, which is of great significance to the growth monitoring and yield estimation research of winter wheat. In this study, with winter wheat as the research obje

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Gao, S. "A Bayesian nonlinear inversion of seismic body-wave attenuation factors." Bulletin of the Seismological Society of America 87, no. 4 (1997): 961–70. http://dx.doi.org/10.1785/bssa0870040961.

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Abstract It is a well-known fact that the uncertainties in measuring relative attenuation factors within a local or regional seismic network are usually high, due to noise of different kinds and unrealistic assumptions. Numerical experiments using nine synthetic seismograms, created using t* values ranging from 0.1 to 0.9 sec, reveal that the commonly used spectral ratio method is strongly affected by the selection of data processing parameters such as width of the spectral smoothing window, reference station, and so on. The numerical experiments demonstrate that a Bayesian nonlinear inversion

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Fu, Chengbiao, Heigang Xiong, and Anhong Tian. "Fractional Modeling for Quantitative Inversion of Soil-Available Phosphorus Content." Mathematics 6, no. 12 (2018): 330. http://dx.doi.org/10.3390/math6120330.

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The study of field spectra based on fractional-order differentials has rarely been reported, and traditional integer-order differentials only perform the derivative calculation for 1st-order or 2nd-order spectrum signals, ignoring the spectral transformation details between 0th-order to 1st-order and 1st-order to 2nd-order, resulting in the problem of low-prediction accuracy. In this paper, a spectral quantitative analysis model of soil-available phosphorus content based on a fractional-order differential is proposed. Firstly, a fractional-order differential was used to perform a derivative ca

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Lestrade, J. F., J. C. Augereau, M. Booth, et al. "Debris disks around stars in the NIKA2 era." EPJ Web of Conferences 228 (2020): 00015. http://dx.doi.org/10.1051/epjconf/202022800015.

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The new NIKA2 camera at the IRAM 30m radiotelescope was used to observe three known debris disks in order to constrain the SED of their dust emission in the millimeter wavelength domain. We have found that the spectral index between the two NIKA2 bands (1mm and 2mm) is consistent with the Rayleigh-Jeans regime (λ-2), unlike the steeper spectra (λ-3) measured in the submillimeter-wavelength domain for two of the three disks - around the stars Vega and HD107146. We provide a succesful proof of concept to model this spectral inversion in using two populations of dust grains, those smaller and tho

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31

Wagner, Paul-Remo, Stefano Marelli, and Bruno Sudret. "Bayesian model inversion using stochastic spectral embedding." Journal of Computational Physics 436 (July 2021): 110141. http://dx.doi.org/10.1016/j.jcp.2021.110141.

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32

AMAIKE, Fumio, and Kikuji KOBAYASHI. "Spectral Inversion Analysis Considering Apparent Incident Angle." Journal of JAEE 16, no. 9 (2016): 9_33–9_45. http://dx.doi.org/10.5610/jaee.16.9_33.

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33

Lewis, R. J. G., and J. R. Bishop. "Inversion of Time Domain Spectral IP Data." Exploration Geophysics 19, no. 1-2 (1988): 303–5. http://dx.doi.org/10.1071/eg988303.

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Plessix, R. É., and Y. Li. "Waveform acoustic impedance inversion with spectral shaping." Geophysical Journal International 195, no. 1 (2013): 301–14. http://dx.doi.org/10.1093/gji/ggt233.

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Hall, Richard L. "Geometric spectral inversion by the WKB approximation." Physical Review A 51, no. 3 (1995): 1787–91. http://dx.doi.org/10.1103/physreva.51.1787.

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Kim, Inwoong, Olga Vassilieva, Youichi Akasaka, Paparao Palacharla, and Tadashi Ikeuchi. "Enhanced Spectral Inversion for Fiber Nonlinearity Mitigation." IEEE Photonics Technology Letters 30, no. 23 (2018): 2040–43. http://dx.doi.org/10.1109/lpt.2018.2875595.

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Jannaud, L. R., P. M. Adler, and C. G. Jacquin. "Spectral analysis and inversion of experimental codas." GEOPHYSICS 58, no. 3 (1993): 408–18. http://dx.doi.org/10.1190/1.1443424.

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A method developed for the determination of the characteristic lengths of an heterogeneous medium from the spectral analysis of codas is based on an extension of Aki’s theory to anisotropic elastic media. An equivalent Gaussian model is obtained and seems to be in good agreement with the two experimental data sets that illustrate the method. The first set was obtained in a laboratory experiment with an isotropic marble sample. This sample is characterized by a submillimetric length scale that can be directly observed on a thin section. The spectral analysis of codas and their inversion yields

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Kavetsky, A., and B. J. O'Mara. "Spectral line inversion as a diagnostic tool." Journal of Quantitative Spectroscopy and Radiative Transfer 33, no. 2 (1985): 93–100. http://dx.doi.org/10.1016/0022-4073(85)90096-2.

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Ghosh Roy, D. N., and L. D. Waters. "Steepest descent inversion of plasma spectral intensities." Journal of Quantitative Spectroscopy and Radiative Transfer 37, no. 1 (1987): 55–63. http://dx.doi.org/10.1016/0022-4073(87)90118-x.

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40

Bousserez, N., D. K. Henze, B. Rooney, et al. "Constraints on methane emissions in North America from future geostationary remote sensing measurements." Atmospheric Chemistry and Physics Discussions 15, no. 13 (2015): 19017–44. http://dx.doi.org/10.5194/acpd-15-19017-2015.

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Abstract. The success of future geostationary (GEO) satellite observation missions depends on our ability to design instruments that address their key scientific objectives. In this study, an Observation System Simulation Experiment (OSSE) is performed to quantify the constraints on methane (CH4) emissions in North America obtained from Short Wave Infrared (SWIR), Thermal Infrared (TIR) and multi-spectral measurements in geostationary orbit compared to existing SWIR low earth (LEO) measurements. A stochastic algorithm is used to compute the information content of a variational inversion at hig

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KATO, JOJI, and YOSHIHIKO KAWAMURA. "Gadolinium-Enhanced Three-dimensional MR Angiography Using Spectral Selective Inversion Pulse." Japanese Journal of Radiological Technology 54, no. 5 (1998): 624–29. http://dx.doi.org/10.6009/jjrt.kj00003109999.

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Paz Pellat, Fernando. "Correcciones atmosféricas relativas de imágenes de satélite: patrones invariantes y modelos atmosféricos." REVISTA TERRA LATINOAMERICANA 36, no. 1 (2018): 1. http://dx.doi.org/10.28940/terra.v36i1.228.

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To use information obtained with satellite technology reliably, it is necessary to eliminate or reduce the disruptive effects associated with the spectral information captured by sensors on space platforms. In this paper we analyze the inversion of radiative models of the atmosphere, which consists in determining the additive and multiplicative constants in each spectral band to make the necessary atmospheric corrections. The methodology proposes the use of invariant patterns of soil lines and dense vegetation for the inversion of radiative models. The results showed that, without knowledge of

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Liu, L., and K. Shang. "MINERAL INFORMATION EXTRACTION BASED ON GAOFEN-5’S THERMAL INFRARED DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1157–60. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1157-2018.

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Gaofen-5 carries six instruments aimed at various land and atmosphere applications, and it’s an important unit of China High-resolution Earth Observation System. As Gaofen-5’s thermal infrared payload is similar to that of ASTER, which is widely used in mineral exploration, application of Gaofen-5’s thermal infrared data is discussed regarding its capability in mineral classification and silica content estimation. First, spectra of silicate, carbonate, sulfate minerals from a spectral library are used to conduct spectral feature analysis on Gaofen-5’s thermal infrared emissivities. Spectral in

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Bonilla, Luis Fabián, Jamison H. Steidl, Grant T. Lindley, Alexei G. Tumarkin, and Ralph J. Archuleta. "Site amplification in the San Fernando Valley, California: Variability of site-effect estimation using the S-wave, coda, and H/V methods." Bulletin of the Seismological Society of America 87, no. 3 (1997): 710–30. http://dx.doi.org/10.1785/bssa0870030710.

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Abstract During the months that followed the 17 January 1994 M 6.7 Northridge, California, earthquake, portable digital seismic stations were deployed in the San Fernando basin to record aftershock data and estimate site-amplification factors. This study analyzes data, recorded on 31 three-component stations, from 38 aftershocks ranging from M 3.0 to M 5.1, and depths from 0.2 to 19 km. Site responses from the 31 stations are estimated from coda waves, S waves, and ratios of horizontal to vertical (H/V) recordings. For the coda and the S waves, site response is estimated using both direct spec

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Jagt, Lisanne, and Arwen Deuss. "Comparing one-step full-spectrum inversion with two-step splitting function inversion in normal mode tomography." Geophysical Journal International 227, no. 1 (2021): 559–75. http://dx.doi.org/10.1093/gji/ggab240.

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SUMMARY Earth’s normal modes, or whole Earth oscillations, provide important constraints on Earth’s large-scale 3-D structure. In addition to constraining shear and compressional wave velocities, they are the only seismic data sensitive to density perturbations. Density is particularly difficult to determine, and previous studies have found contradicting results, hence the method chosen to invert normal mode data for 3-D structure becomes important. In the problem of inverting the measured frequency spectra for an earth model, we can take two approaches: (i) a one-step full-spectrum inversion,

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Jiang, Zongchen, Yi Ma, and Junfang Yang. "Inversion of the Thickness of Crude Oil Film Based on an OG-CNN Model." Journal of Marine Science and Engineering 8, no. 9 (2020): 653. http://dx.doi.org/10.3390/jmse8090653.

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In recent years, marine oil spill accidents have occurred frequently, seriously endangering marine ecological security. It is highly important to protect the marine ecological environment by carrying out research on the estimation of sea oil spills based on remote sensing technology. In this paper, we combine deep learning with remote sensing technology and propose an oil thickness inversion generative adversarial and convolutional neural network (OG-CNN) model for oil spill emergency monitoring. The model consists of a self-expanding module for the oil film spectral feature data and an oil fi

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Puryear, Charles I., and John P. Castagna. "Layer-thickness determination and stratigraphic interpretation using spectral inversion: Theory and application." GEOPHYSICS 73, no. 2 (2008): R37—R48. http://dx.doi.org/10.1190/1.2838274.

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Spectral inversion is a seismic method that uses a priori information and spectral decomposition to improve images of thin layers whose thicknesses are below the tuning thickness. We formulate a method to invert frequency spectra for layer thickness and apply it to synthetic and real data using complex spectral analysis. Absolute layer thicknesses significantly below the seismic tuning thickness can be determined robustly in this manner without amplitude calibration. We extend our method to encompass a generalized reflectivity series represented by a summation of impulse pairs. Application of

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Rickett, James. "Integrated estimation of interval-attenuation profiles." GEOPHYSICS 71, no. 4 (2006): A19—A23. http://dx.doi.org/10.1190/1.2209722.

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Quantitative estimates of seismic attenuation are useful for a variety of applications, ranging from seismic-acquisition design, to seismic processing, amplitude analysis, and reservoir characterization. I frame the estimation of interval attenuation from a set of seismic wavelets as a linear inversion of their log-amplitude spectra. The initial spectrum at the first depth location and a set of depth-varying amplitude scalers are estimated simultaneously with an effective-attenuation [Formula: see text] profile. The algorithm can be regarded as a tomographic extension of the spectral-ratio met

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Lamb, W. "A spectral approach to an integral equation." Glasgow Mathematical Journal 26, no. 1 (1985): 83–89. http://dx.doi.org/10.1017/s0017089500005802.

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In a recent paper [7], Rooney used a technique involving the Mellin transform to obtain solutions in certain spaces ℒμ, ρ of an integral equation which had been studied previously by Šub-Sizonenko [9]. The integral equation in question can be written aswhere I denotes the identity operator and G0.1/2 is given bywith the inversion formula obtained by Rooney taking the formRooney verified that (1.1) and (1.2) formed an inversion pair in ℒμ, ρ for 1 ≤ p < ∞ and μ > 0.

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Matchev, Konstantin T., Katia Matcheva, and Alexander Roman. "Transverse Vector Decomposition Method for Analytical Inversion of Exoplanet Transit Spectra." Astrophysical Journal 939, no. 2 (2022): 95. http://dx.doi.org/10.3847/1538-4357/ac82f3.

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Abstract We develop a new method for analytical inversion of binned exoplanet transit spectra and for retrieval of planet parameters. The method has a geometrical interpretation and treats each observed spectrum as a single vector r → in the multidimensional spectral space of observed bin values. We decompose the observed r → into two orthogonal components: a wavelength-independent component r → ∥ corresponding to the spectral mean across all observed bins, and a transverse component r → ⊥ that is wavelength dependent and contains the relevant information about the atmospheric chemistry. The m

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