Title :
Hyperspectral and Luminescence Observer (HALO) Mars mission concept - innovative data triage, compression, processing and analysis for the hyperspectral imager
Author :
Cloutis, Edward ; Vila, Begoña ; Bell, Andrew ; Lamothe, Michel
Author_Institution :
Univ. of Winnipeg, Winnipeg, MB, Canada
Abstract :
The hyperspectral and luminescence observer (HALO) instrument concept, designed to conduct surface mapping of Mars as part of the Mars sample return network (MSRNET) program utilizes a number of innovative elements to allow mapping of surficial geology of large parts of Mars at high spectral and spatial resolution, with wide wavelength and areal coverage, and high SNR. Much of this efficiency is gained through the application of Gaussian spectral deconvolution. This approach, which will be implemented on board the spacecraft, can provide an approximate order of magnitude reduction in data volumes, enable scientifically interesting targets to be identified on the fly, facilitate spectral analysis, and provide physically meaningful spectral parameters.
Keywords :
Gaussian processes; Mars; astronomical image processing; Gaussian spectral deconvolution; Mars mission concept; Mars sample return network; hyperspectral imager; hyperspectral observer; luminescence observer; surface mapping; Deconvolution; Geology; Hyperspectral imaging; Image analysis; Image coding; Instruments; Luminescence; Mars; Spatial resolution; Surface waves; Gaussian analysis; Mars; data compression; hyperspectral imagery;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4686-5
Electronic_ISBN :
978-1-4244-4687-2
DOI :
10.1109/WHISPERS.2009.5289049