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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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[Advance in interferogram data processing technique].

Juan-Juan Jing1, Bin Xiangli, Qun-Bo Lü

  • 1Key Laboratory of Spectral Imaging Technique, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China. jingjuanjuan@opt.ac.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|July 1, 2011
PubMed
Summary
This summary is machine-generated.

Fourier transform spectrometry collects interference data requiring processing. This paper reviews general and special data processing techniques for Fourier transform spectroscopy, discussing future trends in interferogram data analysis.

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Area of Science:

  • Spectroscopy
  • Optical Engineering
  • Data Science

Context:

  • Fourier transform spectrometry (FTS) is an advanced technique combining imaging and spectral analysis.
  • FTS instruments acquire interferometric data, which is an intermediate format requiring significant processing.
  • Direct application of raw interferometric data is not feasible, necessitating robust data processing methods.

Purpose:

  • To categorize and review existing data processing techniques for Fourier transform spectrometry.
  • To introduce advancements in general-purpose interferometric data processing.
  • To detail special-type data extraction and processing methods specific to FTS classifications.

Summary:

  • This paper categorizes Fourier transform spectrometry data processing into general-purpose and special-type techniques.
  • It reviews advances in universal interferometric data processing and illustrates special-type methods.
  • The discussion includes current trends in interferogram data processing.

Impact:

  • Provides a structured overview of essential data processing methods for Fourier transform spectrometry.
  • Aids researchers in selecting and applying appropriate techniques for interferometric data analysis.
  • Highlights future directions in interferogram data processing for enhanced FTS applications.