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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Bibliographic Details
Published in:	IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium Vol. 3; pp. 2170 - 2173 vol.3
Main Authors:	Cuccoli, F., Manneschi, A., Belotti, C.
Format:	Conference Proceeding
Language:	English
Published:	Piscataway NJ IEEE 2004
Subjects:	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 atmosphere algorithms laser methods infrared rays simulation tomography remote sensing concentration gases
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Summary:	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.
ISBN:	0780387422 9780780387423
DOI:	10.1109/IGARSS.2004.1370790