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菲佐傅里叶变换成像光谱法:缺失数据重建

Fizeau Fourier transform imaging spectroscopy: missing data reconstruction.

作者信息

Thurman Samuel T, Fienup James R

机构信息

The Institute of Optics, University of Rochester, Rochester, NY 14627, USA.

出版信息

Opt Express. 2008 Apr 28;16(9):6631-45. doi: 10.1364/oe.16.006631.

Abstract

Fizeau Fourier transform imaging spectroscopy yields both spatial and spectral information about an object. Spectral information, however, is not obtained for a finite area of low spatial frequencies. A nonlinear reconstruction algorithm based on a gray-world approximation is presented. Reconstruction results from simulated data agree well with ideal Michelson interferometer-based spectral imagery. This result implies that segmented-aperture telescopes and multiple telescope arrays designed for conventional imaging can be used to gather useful spectral data through Fizeau FTIS without the need for additional hardware.

摘要

菲佐傅里叶变换成像光谱技术能够获取物体的空间和光谱信息。然而,对于有限的低空间频率区域无法获得光谱信息。本文提出了一种基于灰度世界近似的非线性重建算法。模拟数据的重建结果与基于理想迈克尔逊干涉仪的光谱图像吻合良好。这一结果表明,为传统成像设计的分段孔径望远镜和多望远镜阵列可用于通过菲佐傅里叶变换成像光谱技术收集有用的光谱数据,而无需额外的硬件。

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