In this work the authors present some aspects about the retrieval of the atmospheric bidimensional structure of the atmospheric specific attenuation coefficient through inversion of the observed brightness temperature values using a tomographic approach. The poor angular coverage is one of the main limiting factors, together with the parameterization of both model and data space, i.e. the structure of the observed scenario and the number of acquisitions in realistic experimental condition. The attention is focused on the aspects concerning the regularization scheme, which helps in improving the quality of the retrieved values either by adding a priori knowledge about the model or by contrasting the effect of noise. A preliminary analysis is performed applying different strategies on two synthetic examples. Keywords: inverse problems, regularization, radiometric tomography
Tomographic radiometric inversion with poor angular coverage: the benefit of a regularization scheme.
BOSISIO, ADA VITTORIA;DRUFUCA, GIUSEPPE
2008-01-01
Abstract
In this work the authors present some aspects about the retrieval of the atmospheric bidimensional structure of the atmospheric specific attenuation coefficient through inversion of the observed brightness temperature values using a tomographic approach. The poor angular coverage is one of the main limiting factors, together with the parameterization of both model and data space, i.e. the structure of the observed scenario and the number of acquisitions in realistic experimental condition. The attention is focused on the aspects concerning the regularization scheme, which helps in improving the quality of the retrieved values either by adding a priori knowledge about the model or by contrasting the effect of noise. A preliminary analysis is performed applying different strategies on two synthetic examples. Keywords: inverse problems, regularization, radiometric tomographyFile | Dimensione | Formato | |
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