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

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....

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Bibliographische Detailangaben
Hauptverfasser:	Cuccoli, F., Manneschi, A., Belotti, C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Analytical models Applied geophysics Atmospheric measurements Atmospheric modeling Earth sciences Earth, ocean, space Exact sciences and technology Gas lasers Genetic algorithms Internal geophysics Optical design Performance analysis Reconstruction algorithms Tomography
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/IGARSS.2004.1370790