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Spectral Imagers with Linear Detector Imager Systems Based on Spectrum Compressed

Read full paper at:http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53709#.VNBqByzQrzE

Author(s)  
Xiaoming Zhong, Huang Li, Huang Li

Affiliation(s)
Beijing Institute of Space Mechanics & Electricity, Beijing, China.

ABSTRACT
Traditional spectral imagers require 2-dimensional detectors. We present a new method to implement spectral imagers with linear detector imager systems based on spectrum compressed. Using 1-dimension detectors instead of 2-dimension detectors to get 3-dimensional data cubes, the spectral imagers could get both the spectral information and the spatial information of each ground object. By the method of characteristics decoupling, we make high precision reconstruction of compressed data. Theoretical analysis and simulations show that it not only ensures the imaging quality but also reduces the dimension of the detectors and complexity of imaging system greatly.

KEYWORDS
Linear Detector Imager, Spectrum Compressed, Characteristics Decoupling

Cite this paper
Zhong, X. , Li, H. and Li, H. (2015) Spectral Imagers with Linear Detector Imager Systems Based on Spectrum Compressed. Journal of Applied Mathematics and Physics, 3, 267-271. doi: 10.4236/jamp.2015.32039.

References
[1]Shen, Z. (2002) The Principle of the Spaceborne Hyperspectrum Imager. Spacecraft Recovery& Remote Sensing, 23, 28-34.
 
[2]Arguello, H. and Arce, G.R. (2011) Code Aperture Agile Spectral Imaging (CAASI). OSA Optics and Photonics Congress, 978-1-55752-914-5.
 
[3]Arguello, H., Ye, P. and Arce, G.R. (2010) Spectral Aperture Code Design for Multi-Shot Compressive Spectral Imaging. OSA Optics & Photonics Congress, 978-1-55752-887-2.
 
[4]Wagadarikar, A.A., Pitsianis, N.P. and Sun, X.B. (2008) Spectral Image Estimation for Coded Aperture Snapshot Spectral Imagers. Proc SPIE, 7076, 7076-7076-02.
 
[5]Bioucas-Dias, J.M. and Figueiredo, M.A. (2007) A New TWIST: Two-Step Iterative Shrinkage, Thresholding Algorithms for Image Restoration. IEEE Trans Image Process, 16, 2992-3004. http://dx.doi.org/10.1109/TIP.2007.909319                                                                                   eww150203lx
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