Genetic Algorithms for the tomographic reconstruction of 2D concentration fields of atmospheric gas

Author

Cuccoli, Fabrizio ; Manneschi, Alessandro ; Belotti, Claudio

Author_Institution

Dept. of Electron. & Telecommun., O.U. CNIT, Firenze, Italy

Volume

3

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

2170

Abstract

A Genetic Algorithm for environmental tomographic applications has been developed. This algorithm has been designed to be applied on the reconstruction of 2D concentration fields of atmospheric gas whose integral measurements are obtained by an open path tomographic system based on IR laser devices. Here, we focus on the performance analysis of the genetic reconstruction algorithm applied to simulated two-dimensional scalar fields by processing a set of one dimensional measurements.

Keywords

atmospheric composition; atmospheric techniques; genetic algorithms; remote sensing by laser beam; tomography; 2D concentration field reconstruction; IR laser devices; atmospheric gas concentration; environmental tomographic applications; genetic reconstruction algorithm; integral measurements; one dimensional measurements; open path tomographic system; performance analysis; simulated two-dimensional scalar fields; tomographic reconstruction; Algorithm design and analysis; Analytical models; Atmospheric measurements; Atmospheric modeling; Gas lasers; Genetic algorithms; Optical design; Performance analysis; Reconstruction algorithms; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370790

Filename

1370790