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Joint evaluation of different meteor observation types support the better understanding of both the meteor phenomenon and the terrestrial atmosphere. Two types of examples are presented in this work, linking ionospheric effects to specific…

Instrumentation and Methods for Astrophysics · Physics 2021-08-04 Á. Kereszturi , V. Barta , I. Bondár , Cs. Czanik , A. Igaz , P. Mónus , D. Rezes , L. Szabados , B. D. Pál

Fast-flying aerial robots promise rapid inspection under limited battery constraints, with direct applications in infrastructure inspection, terrain exploration, and search and rescue. However, high speeds lead to severe motion blur in…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Rong Zou , Marco Cannici , Davide Scaramuzza

The paper presents the implementation of algorithms for automatic search for signals scattered at meteor tracks based on the ISTP SB RAS EKB radar data. The algorithm is divided into two phases - the detection of a meteoric echo and the…

Geophysics · Physics 2017-10-23 Oleg I. Berngardt , Roman R. Fedorov

Here we report on the results of meteor observations with 9-channel Mini-MegaTORTORA (MMT-9) wide-field optical monitoring system with high temporal resolution. During first 1.5 years of operation more than 90 thousands of meteors have been…

Earth and Planetary Astrophysics · Physics 2016-02-26 S. Karpov , N. Orekhova , G. Beskin , A. Biryukov , S. Bondar , E. Ivanov , E. Katkova , A. Perkov , V. Sasyuk

The physical composition and structure of meteoroids gives us insight into the formation processes of their parent asteroids and comets. The strength of and fundamental grain sizes in meteoroids tell us about the environment in which small…

Earth and Planetary Astrophysics · Physics 2019-04-10 Margaret D. Campbell-Brown

Drones have revolutionized various domains, including agriculture. Recent advances in deep learning have propelled among other things object detection in computer vision. This study utilized YOLO, a real-time object detector, to identify…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Tobias Rohe , Barbara Böhm , Michael Kölle , Jonas Stein , Robert Müller , Claudia Linnhoff-Popien

Over the past decade the use of machine learning in meteorology has grown rapidly. Specifically neural networks and deep learning have been used at an unprecedented rate. In order to fill the dearth of resources covering neural networks…

Machine Learning · Computer Science 2023-05-26 Randy J. Chase , David R. Harrison , Gary Lackmann , Amy McGovern

Fast sampling photometry is essential for characterising fireballs and their fragmentation episodes which link to the meteoroid internal structure. Accurate measurements remain challenging due to the large required dynamic range of up to 10…

Instrumentation and Methods for Astrophysics · Physics 2026-02-24 Dale Giancono , Hadrien Devillepoix , Robert Howie , Denis Vida , David Rollinson

We report a comprehensive analysis of the instrumentally observed meteorite fall \v{Z}\v{d}\'ar nad S\'azavou, which occurred in the Czech Republic on 9 December 2014 at 16:16:45-54 UT. The original meteoroid with an estimated initial mass…

Earth and Planetary Astrophysics · Physics 2020-03-18 Pavel Spurný , Jiří Borovička , Lukáš Shrbený

In the past two decades an increasing interest in discovering Near Earth Objects has been noted in the astronomical community. Dedicated surveys have been operated for data acquisition and processing, resulting in the present discovery of…

Instrumentation and Methods for Astrophysics · Physics 2019-01-10 T. Stefanut , V. Bacu , C. Nandra , D. Balasz , D. Gorgan , O. Vaduvescu

The use of machine learning algorithms is an attractive way to produce very fast detector simulations for scattering reactions that can otherwise be computationally expensive. Here we develop a factorised approach where we deal with each…

Data Analysis, Statistics and Probability · Physics 2022-07-26 D. Darulis , R. Tyson , D. G. Ireland , D. I. Glazier , B. McKinnon , P. Pauli

Temporarily Captured Orbiters (TCOs) are Near-Earth Objects (NEOs) which make a few orbits of Earth before returning to heliocentric orbits. Only one TCO has been observed to date, 2006 RH120, captured by Earth for one year before escaping.…

Earth and Planetary Astrophysics · Physics 2016-05-25 David L. Clark , Pavel Spurný , Paul Wiegert , Peter Brown , Jiří Borovička , Ed Tagliaferri , Lukáš Shrbený

In the first paper of this series we examined existing methods of optical meteor trajectory estimation and developed a novel method which simultaneously uses both the geometry and the dynamics of meteors to constrain their trajectories. We…

Earth and Planetary Astrophysics · Physics 2020-01-08 Denis Vida , Peter G. Brown , Margaret Campbell-Brown , Paul Wiegert , Peter S. Gural

As astronomical photometric surveys continue to tile the sky repeatedly, the potential to pushdetection thresholds to fainter limits increases; however, traditional digital-tracking methods cannotachieve this efficiently beyond time scales…

Earth and Planetary Astrophysics · Physics 2021-04-09 Nathan Golovich , Noah Lifset , Robert Armstrong , Eric Green , Michael D. Schneider , Roger Pearce

Forecasting severe weather conditions is still a very challenging and computationally expensive task due to the enormous amount of data and the complexity of the underlying physics. Machine learning approaches and especially deep learning…

Machine Learning · Computer Science 2019-12-09 Christian Schön , Jens Dittrich

Context. The determination of meteoroid mass indices is central to flux measurements and evolutionary studies of meteoroid populations. However, different authors use different approaches to fit observed data, making results difficult to…

Earth and Planetary Astrophysics · Physics 2016-08-31 Petr Pokorny , Peter G. Brown

We describe the fall of Annama meteorite occurred in the remote Kola Peninsula (Russia) close to Finnish border on April 19, 2014 (local time). The fireball was instrumentally observed by the Finnish Fireball Network. From these…

Developing methods to predict disastrous natural phenomena is more important than ever, and tornadoes are among the most dangerous ones in nature. Due to the unpredictability of the weather, counteracting them is not an easy task and today…

Machine Learning · Computer Science 2022-08-12 Davide Alessandro Coccomini , Giuliano Zara

We present the results of a large scale simulation, reproducing the behavior of a data center for the build-up and maintenance of a complete catalog of space debris in the upper part of the low Earth orbits region (LEO). The purpose is to…

Dynamical Systems · Mathematics 2015-05-28 Andrea Milani , Davide Farnocchia , Linda Dimare , Alessandro Rossi , Fabrizio Bernardi
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