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  • %22This paper is devoted to exact localization of objects in astronomical images based on previous object detection. It remarks object detection method via mathematical statistics, especially utilization of False Discovery Rate and its evaluation using Bonferroni correction. Object localization approach uses two-dimensional Gaussian function as astronomical object model. Estimation of its parameters is based on application of Maximum-Likelihood Method and further minimization of objective function. Proposed methods are veri ed with the model data and then applied to the real images acquired by MAIA (Meteor Automatic Imager and Analyzer) system. Novelty of this paper is in combination of Poisson noise with di usion model in astronomical applications.%22
  • %22This paper is devoted to exact localization of objects in astronomical images based on previous object detection. It remarks object detection method via mathematical statistics, especially utilization of False Discovery Rate and its evaluation using Bonferroni correction. Object localization approach uses two-dimensional Gaussian function as astronomical object model. Estimation of its parameters is based on application of Maximum-Likelihood Method and further minimization of objective function. Proposed methods are veri ed with the model data and then applied to the real images acquired by MAIA (Meteor Automatic Imager and Analyzer) system. Novelty of this paper is in combination of Poisson noise with di usion model in astronomical applications.%22 (en)
Title
  • Diffusion Model with Poisson Noise and its Identification
  • Diffusion Model with Poisson Noise and its Identification (en)
skos:prefLabel
  • Diffusion Model with Poisson Noise and its Identification
  • Diffusion Model with Poisson Noise and its Identification (en)
skos:notation
  • RIV/60461373:22340/12:43894201!RIV13-MSM-22340___
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  • I, S
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  • 131289
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  • RIV/60461373:22340/12:43894201
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  • object localization; maximum likelihood estimation; diffusion model; Bonferroni correction; false discovery rate; astronomical image (en)
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  • [C9B027F842E8]
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  • Brno
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  • Brno
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  • Proceedings of 18th International Conference on Soft Computing Mendel 2012
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  • Kukal, Jaromír
  • Švihlík, Jan
  • Mojžíš, František
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  • Vysoké učení technické v Brně
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  • 978-80-214-4540-6
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  • 22340
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