The role of a priori information in designing retrieval algorithms for microwave radiometric profiling of the atmosphere

Author

Basili, P. ; Ciotti, P. ; d´Auria, G. ; Marzano, F.S. ; Pierdicca, N. ; Bonafoni, S.

Author_Institution

Ist. di Elettronica, Perugia Univ., Italy

Volume

4

fYear

1997

fDate

3-8 Aug 1997

Firstpage

2100

Abstract

This paper considers the relevance of a priori information in the retrieval of atmospheric temperature profiles in terms of time and space evolution models. Different retrieval algorithms (ordinary and ridge linear regressions, Kalman filtering and neural networks) are compared, when applied to both synthetic and real SSM/I measurements

Keywords

Kalman filters; atmospheric techniques; atmospheric temperature; geophysical signal processing; geophysics computing; inverse problems; microwave measurement; millimetre wave measurement; neural nets; radiometry; remote sensing; statistical analysis; temperature measurement; Kalman filtering; a priori information; atmosphere; measurement technique; meteorology; microwave radiometry; millimetre wave; mm wave; neural net; remote sensing; retrieval algorithm; ridge linear regression; temperature; vertical profile; Algorithm design and analysis; Atmospheric measurements; Atmospheric modeling; Filtering algorithms; Information retrieval; Kalman filters; Linear regression; Neural networks; Nonlinear filters; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.609239

Filename

609239