Implications of tomographic reconstruction algorithms on instrumentation for observing the night time ionospheric air glow

Details Implications of tomographic reconstruction algorithms on instrumentation for observing the night time ionospheric air glow Implications of tomographic reconstruction algorithms on instrumentation for observing the night time ionospheric air glow

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmsm11b1635b&link_type=abstract

American Geophysical Union, Fall Meeting 2008, abstract #SM11B-1635

Physics

2415 Equatorial Ionosphere, 2494 Instruments And Techniques, 9820 Techniques Applicable In Three Or More Fields

Scientific paper

Utah State University has been exploring the mission and instrument requirements for tomographic observations of ionospheric air glow. Such a mission would employ a rotating field of view photometer making line of sight measurements and using tomographic processes to produce a two dimensional cross section of the atmosphere. The implications of the spacecraft velocity, field of view, rotation rate, sampling rate and signal to noise effects on the resulting tomographic reconstruction quality are difficult to determine. The tomographic reconstruction method is based upon the natural pixel representation and a relatively fast implementation has been developed in both MatLab and C. In this formulation, image reconstruction requires solution of a large nonsparse set of equations involving a Grammian matrix whose elements depend upon the geometry of the orbit and region being imaged. We present detailed discussion of how to stably compute the elements of the Grammian matrix and an efficient algorithm for reconstructing the image from the projection weights. Results on simulated data indicating spatial resolution and contrast will be presented for various sensor parameters. Emphasis is placed on the possibility of observing equatorial plasma bubble signatures from a small satellite using 135.6 nm emissions from Oxygen ion recombination.

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