A5018164711- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Astronomy and Astrophysical Research
- Astro and Planetary Science
- Solar and Space Plasma Dynamics
- Solar Radiation and Photovoltaics
- Astrophysical Phenomena and Observations
- Advanced Image Fusion Techniques
- Advanced Image Processing Techniques
- Adaptive optics and wavefront sensing
- Image and Signal Denoising Methods
Silesian University of Technology
2023-2025
Heliophysics phenomena on the Sun, such as radio bursts, can strongly affect satellites and ground-based electronic systems. Therefore, an insight into actual image of Sun with good spatial temporal resolution is crucial. In this paper, we explore possibility using fully convolutional networks (FCNs) to improve images acquired from remotely operated small solar telescopes whose limited by size lens aperture atmospheric turbulence. For purpose, use chromosphere data 50 mm H $$\alpha$$...
ABSTRACT This paper is one in a series reporting results from small telescope observations of variable young stars. Here, we study the repeating outbursts three likely Be stars based on long-term optical, near-infrared, and mid-infrared photometry for all objects, along with follow-up spectra two three. The sources are characterized as rare, truly regularly outbursting We interpret photometric data within framework modelling light-curve morphology, find that models correctly predict burst...
This paper is one in a series reporting results from small telescope observations of variable young stars. Here, we study the repeating outbursts three likely Be stars based on long-term optical, near-infrared, and mid-infrared photometry for all objects, along with follow-up spectra two three. The sources are characterised as rare, truly regularly outbursting We interpret photometric data within framework modelling light curve morphology, find that models correctly predict burst shapes,...
Monochromatic images are used mainly in cases where the intensity of received signal is examined. The identification observed objects as well estimation emitted by them depends largely on precision light measurement image pixels. Unfortunately, this type imaging often affected noise, which significantly degrades quality results. In order to reduce it, numerous deterministic algorithms used, with Non-Local-Means and Block-Matching-3D being most widespread treated reference point current...