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High-resolution generative adversarial neural networks applied to histological images generation
(Springer Verlag, 2018)
For many years, synthesizing photo-realistic images has been a highly relevant task due to its multiple applications from aesthetic or artistic [19] to medical purposes [1, 6, 21]. Related to the medical area, this application ...
Multi-scale fidelity measure for image fusion quality assessment
(Elsevier Science, 2019-10)
Image fusion is considered an effective enhancing methodology widely included in high-quality imaging systems. Nevertheless, like other enhancing techniques, output quality assessment is made within small sample subjective ...
Comparative Study of the Descriptive Experiment Design and Robust Fused Bayesian Regularization Techniques for High-Resolution Radar Imaging
(Kharkiv National University of Radio Electronics (KhNURE), 2008)
Efficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images
(Institution of Engineering and Technology, 2019-12)
In this work, a new approach to improve the algorithmic efficiency of the Order Statistic-Constant False Alarm Rate (OS-CFAR) applied in two dimensions (2D) is presented. OS-CFAR is widely used in radar technology for ...
Comparative Study of the Descriptive Experiment Design and Robust Fused Bayesian Regularization Techniques for High-Resolution Radar Imaging
(Kharkiv National University of Radio Electronics (KhNURE), 2016)
Optimal Canny's Parameters Regressions for Coastal Line Detection in Satellite-Based SAR Images
(Institute of Electrical and Electronics Engineers, 2020-01)
Canny's algorithm is a very well-known and widely implemented multistage edge detector. The extraction of coastal lines in space-borne-based synthetic aperture radar (SAR) images using this algorithm is particularly ...
Comparative Study of the Descriptive Experiment Design and Robust Fused Bayesian Regularization Techniques for High-Resolution Radar Imaging
(Kharkiv National University of Radio Electronics (KhNURE), 2008)
Identifying factors impacting the overall accuracy in image classification problems: a statistical approach
(Universidade Tecnológica Federal do Paraná (UTFPR), 2022)
Tomographic imaging of equatorial plasma bubbles
(American Geophysical Union, 2006-08-04)
Recently the Global Ultraviolet Imager (GUVI) on‐board the Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) satellite has detected far ultraviolet (FUV) images of plasma depletions in the low‐latitude and ...
Microvariability in AGNs: study of different statistical methods II. Light curves from simulated images
(Wiley Blackwell Publishing, Inc, 2020-08)
In a previous paper, we studied two statistical methods used to analyse the variability of active galactic nuclei (AGNs): the C and F statistics. Applying them to observed differential light-curves of 39 AGNs, we found ...