Survey of Astronomical Image Processing Methods [PDF]
International Conference on Image and Graphics, 2015 The image processing is becoming a key issue in astronomical data analysis. This paper introduces the algorithms and methods applied in astronomical image processing from different aspects. The paper first shows methods of lossless compression of astronomical images, like the pyramidal median transform, segment-based DPCM and 5/3 integer wavelet ...
Hai Jing Zhu, Bo Chong Han, Bo Qiu
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All-Sky brightness monitoring of light pollution with astronomical methods
Journal of Environmental Management, 2010 This paper describes a mobile prototype and a protocol to measure light pollution based on astronomical methods. The prototype takes three all-sky images using BVR filters of the Johnson-Cousins astronomical photometric system. The stars are then identified in the images of the Hipparcos and General Catalogue of Photometric Data II astronomical ...
Rabaza, O. +3 more
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On the Application of Interference Methods to Astronomical Measurements [PDF]
The Astrophysical Journal, 1890 (1890). I. On the application of interference methods to astronomical measurements. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science: Vol. 30, No. 182, pp. 1-21.
A. Michelson
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Geochemistry, Geophysics, GeosystemsAstronomical cycles recorded in stratigraphic sequences offer a powerful data source to estimate Earth's axial precession frequency k, as well as the frequency of rotation of the planetary perihelia (gi) and of the ascending nodes of their orbital planes
A. Malinverno, S. R. Meyers
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Comparison of density estimation methods for astronomical datasets [PDF]
Astronomy & Astrophysics, 2011 Context. Galaxies are strongly influenced by their environment. Quantifying the galaxy density is a difficult but critical step in studying the properties of galaxies.Aims. We aim to determine differences in density estimation methods and their applicability in astronomical problems.
Ferdosi, B. J. +4 more
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SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications [PDF]
Astrophysical Journal Letters, 2023 Flagship near-future surveys targeting 108–109 galaxies across cosmic time will soon reveal the processes of galaxy assembly in unprecedented resolution. This creates an immediate computational challenge on effective analyses of the full data set.
B. Wang 王 +3 more
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A Robust and Simple Method for Filling in Masked Data in Astronomical Images [PDF]
Publications of the Astronomical Society of the Pacific, 2023 Astronomical images often have regions with missing or unwanted information, such as bad pixels, bad columns, cosmic rays, masked objects, or residuals from imperfect model subtractions.
P. V. van Dokkum, Imad Pasha
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Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050. Projected increase in temperature and humidity leads to poorer astronomical observing conditions [PDF]
Astronomy & Astrophysics, 2022 Context. Sites for next-generation telescopes are chosen decades before the first light of a telescope. Site selection is usually based on recent measurements over a period that is too short to account for long-term changes in observing conditions such ...
C. Haslebacher +19 more
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Data mining techniques on astronomical spectra data. II : Classification Analysis [PDF]
, 2022 Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification techniques have been successfully applied to astronomical data processing.
Haifeng Yang +7 more
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Data mining techniques on astronomical spectra data. I : Clustering Analysis [PDF]
, 2022 Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods have been applied to tackle spectroscopic and photometric data effectively ...
Haifeng Yang +7 more
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