Spatiotemporal reconstructions of global CO 2 ‐fluxes using Gaussian Markov random fields
Sign Up to like & getrecommendations! Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2610
Abstract: Atmospheric inverse modeling is a method for reconstructing historical fluxes of green‐house gas between land and atmosphere, using observed atmospheric concentrations and an atmospheric tracer transport model. The small number of observed atmospheric concentrations in… read more here.
Keywords: fluxes using; random fields; markov random; using gaussian ... See more keywords
An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07916-3
Abstract: Texture characterization and identification is a key issue for a variety of computer vision and image processing applications. Current techniques developed for dealing with the purpose thereof still present performance issues when applied in the… read more here.
Keywords: information; markov random; random field; texture descriptor ... See more keywords
Generalized Adaptive Gaussian Markov Random Field for X-Ray Luminescence Computed Tomography
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DOI: 10.1109/tbme.2017.2785364
Abstract: Objective: X-ray luminescence computed tomography (XLCT) is an emerging and promising modality, but suffers from inferior reconstructions and smoothed target shapes. This work aims to improve the image quality with new mathematical framework. Methods: We… read more here.
Keywords: computed tomography; adaptive gaussian; ray luminescence; generalized adaptive ... See more keywords