The possibility of retrieving horizontal atmospheric structure from a series of limb images taken aboard a satellite is discussed and a maximum likelihood expectation maximization algorithm is developed. Examples of the retrieval of horizontal structure with this algorithm, for different S/N (signal-to-noise) ratios and different structures, are presented. It is shown that with this algorithm and even in the presence of substantial observational noise, a S/N equal to 10 for a single observation, it is possible to retrieve both horizontal and vertical atmospheric structure.
© 2003 Optical Society of America
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.6950) Image processing : Tomographic image processing
(110.6960) Imaging systems : Tomography
(280.0280) Remote sensing and sensors : Remote sensing and sensors
Douglas A. Degenstein, Edward J. Llewellyn, and Nicholas D. Lloyd, "Volume Emission Rate Tomography from a Satellite Platform," Appl. Opt. 42, 1441-1450 (2003)