TITLE:
Spectral Imagers with Linear Detector Imager Systems Based on Spectrum Compressed
AUTHORS:
Xiaoming Zhong, Huang Li, Huang Li
KEYWORDS:
Linear Detector Imager, Spectrum Compressed, Characteristics Decoupling
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.3 No.2,
January
30,
2015
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.