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- W2245245419 abstract "A monitoring method is introduced that creates, in near real-time, two-dimensional (2D) maps of the soil gas distribution. The method combines linear gas sensing technology for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on Maximum Likelihood with Expectation Maximization (MLEM) in combination with a source-by-source reconstruction approach is introduced that works with a sparse setup of orthogonally-aligned linear gas sensors. The reconstruction method successfully reduces artifact production, especially when multiple gas sources are present, allowing the discrimination between true and non-existing socalled ghost source locations. A first experimental test indicates the high potential of the proposed method for, e. g., rapid gas leak localization." @default.
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- W2245245419 date "2015-11-01" @default.
- W2245245419 modified "2023-09-26" @default.
- W2245245419 title "Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors" @default.
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- W2245245419 doi "https://doi.org/10.1109/icsens.2015.7370575" @default.
- W2245245419 hasPublicationYear "2015" @default.
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