Simultaneous Acquisition of Spectral and Spatial Intensity Distribution-Reference-Cited by-同舟云学术

Simultaneous Acquisition of Spectral and Spatial Intensity Distribution

Published:1993-08 Issue:8 Volume:47 Page:1198-1202
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Okamoto Takayuki¹,Takahashi Akinori¹,Yamaguchi Ichirou¹

Affiliation:

1. Optical Engineering Laboratory, Institute of Physical and Chemical Research (RIKEN), Wako, Saitama 351-01, Japan (T.O., I.Y.); and Faculty of Science, Gakushu-in University, Mejiro-ku, Tokyo, Japan (A.T.)

Abstract

A method for recording and reconstructing spectral and spatial intensity distributions of sources is described. Three-dimensional information (two for spatial and one for wavelength) of the sources is simultaneously recorded as their projected forms by an imaging system including a crossed phase grating. A modified multiplicative algebraic technique is developed to reconstruct the original distribution. In experiments we obtained nine projection patterns with equal brightness of a color slide illuminated by a tungsten lamp. The reconstructed distribution shows good agreement with that measured by interference filters.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/0003702934067810

Reference11 articles.

1. Fourier-transform spectral imaging: retrieval of source information from three-dimensional spatial coherence

2. Spectrometric Imager

3. Instrumental profile of a triple Fabry-Perot interferometer for use in solar spectroscopy

4. Simultaneous acquisition of spectral image information

5. Algebraic Reconstruction Techniques (ART) for three-dimensional electron microscopy and X-ray photography

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