Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Atomic Spectroscopy: Effects of Temperature01:27

Atomic Spectroscopy: Effects of Temperature

1.2K
Atomization, converting samples into gas-phase atoms and ions, is essential for atomic spectroscopy. The flame temperature required for atomization affects the efficiency of the atomic spectroscopic methods by increasing the atomization efficiency and the relative population of the excited and ground states.
At thermal equilibrium, the relative populations of excited and ground state atoms can be estimated using the Maxwell–Boltzmann distribution. For example, an increase in temperature...
1.2K
IR Spectrometers01:25

IR Spectrometers

3.1K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
3.1K
Discrete Fourier Transform01:15

Discrete Fourier Transform

1.3K
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
1.3K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

1.5K
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
1.5K
Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

1.3K
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
1.3K
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

2.3K
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
2.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recombobulate correction method for oscillating scene change artifacts in longwave infrared Fourier transform spectroscopy spectra.

Applied optics·2025
Same author

Thermal blooming with laser-induced convection: radial basis function simulation.

Applied optics·2023
Same author

Numerical simulation of steady-state thermal blooming with natural convection.

Applied optics·2023
Same author

Propagation of high energy lasers through clouds: modeling and simulation.

Applied optics·2020

Related Experiment Video

Updated: May 5, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

13.6K

Temperature Determination and Scene Change Artifact Mitigation When Using Fourier-Transform Spectroscopy on Targets

Kody A Wilson1, Michael L Dexter1, Benjamin F Akers1

  • 1Center for Technical Intelligence Studies and Research, Air Force Institute of Technology, 2950 Hobson Way, Fairborn, OH 45433, USA.

Sensors (Basel, Switzerland)
|May 4, 2026
PubMed
Summary

Fourier-transform spectroscopy accuracy suffers from temperature fluctuations causing scene-change artifacts. A new smooth offset correction method eliminates these artifacts, improving spectral and temperature measurements for variant targets.

Keywords:
Fourier-transformhyperspectral imagingscene-change artifactsignal-to-SCA ratiosmooth offset correction

More Related Videos

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

18.6K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

10.5K

Related Experiment Videos

Last Updated: May 5, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

13.6K
Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

18.6K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

10.5K

Area of Science:

  • Spectroscopy
  • Thermal analysis
  • Metrology

Background:

  • Fourier-transform spectroscopy (FTS) is crucial for material property analysis.
  • Temperature variations in targets during FTS measurements introduce significant spectral inaccuracies.
  • Existing literature presents conflicting evidence on the severity of these scene-change artifacts.

Purpose of the Study:

  • To develop a theoretical framework and provide experimental validation for scene-change artifacts in FTS.
  • To introduce a novel metric, the signal-to-scene-change-artifact ratio, for artifact quantification.
  • To propose and validate a smooth offset correction method for artifact elimination and improved accuracy.

Main Methods:

  • Developing a theory to explain scene-change artifacts due to fluctuating target temperatures.
  • Proposing a smooth offset correction technique to estimate and correct the interferogram offset.
  • Introducing the signal-to-scene-change-artifact ratio for artifact impact assessment.
  • Conducting experimental validation of the proposed theory and correction method.

Main Results:

  • Scene-change artifacts are significant and arise from invalid assumptions of constant interferogram offset.
  • The proposed smooth offset correction effectively eliminates scene-change artifacts.
  • The interferogram offset provides accurate temperature determination with high temporal resolution.
  • The signal-to-scene-change-artifact ratio quantifies artifact impact without needing the true spectrum.

Conclusions:

  • Smooth offset correction significantly enhances spectral accuracy in FTS for thermally variant targets.
  • The method improves temperature measurement accuracy and temporal resolution.
  • This approach resolves discrepancies in the literature regarding scene-change artifacts.