Title
High Resolution and Fast Processing of Spectral Reconstruction in Fourier Transform Imaging Spectroscopy.
Abstract
High-resolution spectrum estimation has continually attracted great attention in spectrum reconstruction based on Fourier transform imaging spectroscopy (FTIS). In this paper, a parallel solution for interference data processing using high-resolution spectrum estimation is proposed to reconstruct the spectrum in a fast high-resolution way. In batch processing, we use high-performance parallel-computing on the graphics processing unit (GPU) for higher efficiency and lower operation time. In addition, a parallel processing mechanism is designed for our parallel algorithm to obtain higher performance. At the same time, other solving algorithms for the modern spectrum estimation model are introduced for discussion and comparison. We compare traditional high-resolution solving algorithms running on the central processing unit (CPU) and the parallel algorithm on the GPU for processing the interferogram. The experimental results illustrate that runtime is reduced by about 70% using our parallel solution, and the GPU has a great advantage in processing large data and accelerating applications.
Year
DOI
Venue
2018
10.3390/s18124159
SENSORS
Keywords
Field
DocType
spectrum reconstruction,Fourier transform imaging spectrometer,parallel computing,high performance,GPU
Optics,Electronic engineering,Fourier transform,Engineering,Imaging spectroscopy
Journal
Volume
Issue
ISSN
18
12.0
1424-8220
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Weikang Zhang182.17
Desheng Wen203.72
Zongxi Song301.69
Xin Wei441.78
Gang Liu59329.33
Zhixin Li611124.43