Projection-based chromotomographic spectrometers are sensors that collect both spatial and spectral information
with fairly simple optical as well as electronic hardware. Efforts to utilize them for remote sensing applications have met with obstacles primarily due to the fact that the impulse response of the imaging system as a function of wavelength must be know in order to reconstruct the spatial/spectral content of the scene under study. This paper
reports a blind deconvolution algorithm specifically designed to reconstruct the spectrum of the scene under study as
well as an estimate of the wavelength dependent atmospheric transfer function of the system. The method is tested using simulated data with realistic turbulence and noise factors in order to demonstrate its effectiveness.
In recent work, the resolution limits of two variations of chromo-tomographic hyperspectral imaging sensors were discussed.
In this paper, we examine another variation of this type of hyperspectral sensor the present a reconstruction method
using computed tomography to estimate a hyperspectral data cube and examine the limits of resolution. The resolution
analysis is then compared with a simulation to determine the validity of the calculated resolution bounds. The simulation
setup is discussed and results are presented.