Inversion of flow fields from sensor network data

Animesh Khemka; Charles A. Bouman; Mark R. Bell

doi:10.1117/12.597658

11 March 2005 Inversion of flow fields from sensor network data

Animesh Khemka, Charles A. Bouman, Mark R. Bell

Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.597658
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

We consider the problem of monitoring the concentration and dispersion of pollutants in the atmosphere using a collection of randomly scattered sensors. The sensors are capable of indicating only that the concentration has exceeded a randomly selected threshold and providing this information to a central hub. We consider the case when the dispersion occurs in a general wind velocity field. In this case, the dispersion is modelled by a PDE which in general does not have a closed form solution. We find the maximum likelihood estimate of the concentration as well as the time and location of the pollutant source. Frechet derivatives are used to optimize the cost function. The wind velocity field is estimated as a nuisance parameter.

Citation Download Citation

Animesh Khemka, Charles A. Bouman, and Mark R. Bell "Inversion of flow fields from sensor network data", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.597658

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