13 research outputs found
Sharp bounds and normalization of Wiener-type indices
Get PDF10.1371/journal.pone.0078448PLoS ONE811-POLN
Image Super-Resolution for Improved Automatic Target Recognition
No full textInfrared imagers used to acquire data for automatic target recognition are inherently limited by the physical properties of their components. Fortunately, image super-resolution techniques can be applied to overcome the limits of these imaging systems. This increase in resolution can have potentially dramatic consequences for improved automatic target recognition (ATR) on the resultant higher-resolution images. We will discuss superresolution techniques in general and specifically review the details of one such algorithm from the literature suited to real-time application on forward-looking infrared (FLIR) images. Following this tutorial, a numerical analysis of the algorithm applied to synthetic IR data will be presented, and we will conclude by discussing the implications of the analysis for improved ATR accuracy. Keywords: Super-Resolution, Automatic Target Recognition, FLIR 1
Changes in the Density of States in a-Si:H with the Generation and Annealing of Light-Induced Defects
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Fabric of soil aggregates and characterization of their structural and functional stability
No full textThe effect of mesenchymal stem cells on leukocyte allergen-specific reactions in the case of atopic hypersensitivity
No full textEffect of the Complex of Zinc(II) and Cerium(IV) with Chitosan on the Preservation Quality and Degradation of Organophosphorus Pesticides in Chinese Jujube (Zizyphus jujuba Mill. cv. Dongzao)
No full textAnalysis of the risk and risk factors for injury in people with and without dementia: a 14-year, retrospective, matched cohort study
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