Results 151 to 160 of about 1,807 (203)
Automatic Interpretation of Oblique Ionograms
Advances in Space Research, 2015 Abstract We present an algorithm for the identification of trace characteristics of oblique ionograms allowing determination of the Maximum Usable Frequency (MUF) for communication between the transmitter and receiver. The algorithm automatically detects and rejects poor quality ionograms.
Alessandro Settimi +2 more
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Automatic classification of ionogram with CNN
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020The ionosphere is an essential part of the near-earth environment. Ionosphere classification, especially the irregularities identification via ionograms in real time has significant meaning in the ionospheric research. In this paper, a method based on CNN is proposed to classify the ionograms automatically.
Wei-Yi Cheng +3 more
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Application of the oblique ionogram as vertical ionogram
Science China Technological Sciences, 2012The vertical ionogram can provide the important ionospheric parameters, such as critical frequency, virtual height and electron density, for ionospheric research. The oblique ionosonde has the ability to detect the ionosphere over sea and other terrain where it is not practical to deploy vertical sounder and provide more ionograms with less ...
Gang Chen +8 more
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Advances in Space Research, 1990
Abstract This report summarizes the availability of digital ionogram data from the USSR and the French ionosonde stations, and from the Digisonde 256 network. Both manually generated and automatically generated data are discussed.
B.W. Reinisch, A.Ya. Feldstein, H. Sizun
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Abstract This report summarizes the availability of digital ionogram data from the USSR and the French ionosonde stations, and from the Digisonde 256 network. Both manually generated and automatically generated data are discussed.
B.W. Reinisch, A.Ya. Feldstein, H. Sizun
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Automatic Trace Recognition of Ionogram with YOLOv3
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020The correct trace identification of the ionosphere in ionograms is one of the fundamental steps to the automatic scaling of ionograms. In this paper, a new method based on deep learning network is proposed to identify the traces of ionograms and ionospheric irregularities effectively.
Tai-Yuan Gong +3 more
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Noise removal in ionograms by neural network
Neural Computing & Applications, 1997A neural network approach to the extraction of 1hop F-layer traces from oblique-incidence ionograms is shown to offer performance at least comparable with conventional filtering techniques. Preprocessing in the form of background noise and vertical (horizontal) line removal is utilised prior to training a 110∶7∶100 MLP using backpropagation with ...
Markus Hagenbuchner, John Fulcher
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Journal of Atmospheric and Terrestrial Physics, 1978
Abstract The simulations of trough ionograms by Lobb and Titheridge (1977) are supplemented by calculating a trace caused by rays having a double oblique reflection in the ionosphere and not retracing their paths. It is also shown how the different parts of the traces are caused by echoes of different types.
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Abstract The simulations of trough ionograms by Lobb and Titheridge (1977) are supplemented by calculating a trace caused by rays having a double oblique reflection in the ionosphere and not retracing their paths. It is also shown how the different parts of the traces are caused by echoes of different types.
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Backscatter ionogram inversion
2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695), 2004A backscatter ionogram, BSI, is a plot showing the group path or time delay against operating frequency when using ground-based swept frequency radar. In the case of ground backscatter, the received signals are reflected from distant locations on the Earth's surface.
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On the simulation of backscatter ionograms
Journal of Atmospheric and Solar-Terrestrial Physics, 1997Abstract An algorithm for the simulation of backscatter ionograms is developed. Propagation is evaluated by numerically ray tracing through an ionosphere consisting of Chapman layers (major layer parameters derived from CCIR and URSI maps). Simulations are performed for a variety of model ionospheres (including some with strongly varying horizontal ...
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Isolation of the Small-Scale and Weak Medium-Scale TIDs on Daytime Midlatitude Ionograms
, 2021 A simple indicator has been introduced to detect weak mid-latitude TIDs in ionograms. This indicator is based on the differential rotation of the cusp part of the trace of the F layer.
Adel Akchurin, Gregory Smirnov
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