Reconstruction Algorithm Development and Assessment for a Computed Tomography Based-Spectral Imager

摘要

The collection of spatial and temporal information is of primary importance for wide-field transient event detection. Full-field imaging systems coupled with high frame-rate detectors readily enable such collections; however, these configurations are not easily adapted to secondary missions with more stressing spectral requirements. While, spectral filters (e.g., filter wheel) can be introduced, the spectral bandpasses must be fairly broad to accommodate shorter integration times. For staring mode sensors, chromotomographic systems offer significant advantages over more conventional systems (filter wheels, AOTF, LCTF). Most notably, due to their integration of signal at each pixel, hyperspectral data can be collected with higher temporal and spectral resolutions at higher signal to noise ratios. These instruments have proven applicable to such diverse fields as optical testing, biomedical imaging and airborne remote sensing. The goal of this research was to study the applicability of CTS systems to scene and target characterization from space-based platforms.