Information-content analysis of aureole inversion methods: differential kernel versus normal
JOSA A, Vol. 7, Issue 6, pp. 1015-1018 (1990)
http://dx.doi.org/10.1364/JOSAA.7.001015
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Abstract
It has recently been suggested that more satisfactory inversion results for the aerosol size distribution may be obtained if the scattered (aureole) data are first differentiated with respect to angle—the so-called differential-kernel method. Analytic eigenfunction theory provides an ideal framework for determining the relative information content of this method versus the standard approach. Our results, supported by the inversion of synthetic data sets, show the differential-kernel method to have significant advantages.
© 1990 Optical Society of America
Citation
Michael A. Box and Gabriel Viera, "Information-content analysis of aureole inversion methods: differential kernel versus normal," J. Opt. Soc. Am. A 7, 1015-1018 (1990)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-7-6-1015
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