A penalized motion detection model for extracting ionospheric echoes from low signal-to-noise ratio Ionogram video images
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- Hiroshige Yuu
- Kyushu Institute of Technology
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- Fujimoto Akiko
- Kyushu Institute of Technology
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- Ikeda Akihiro
- Kagoshima College
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- Abe Shuji
- Kyushu University
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- Yoshikawa Akimasa
- Kyushu University
説明
Measuring the altitude distribution of electron density in the upper atmosphere, known as the ionosphere, using HighFrequency radio wave reflections often causes the low signal-to-noise ratio of ionospheric echoes due to radio frequency interference. We propose a model for converting low-signal-to-noise-ratio ionospheric echo video images (Ionogram) into noise-reduced images using image processing techniques, for tracing the ionospheric echoes from Ionogram. The proposed method consists of three processing parts: noise removal optimized for individual Ionogram images, extraction of ionospheric echoes by penalized background subtraction technique, and fine-tuning of ionospheric echo signals using a minimum spanning tree algorithm. The proposed model successfully reproduces fine Ionograms with 98% recall and 99% precision.
収録刊行物
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- 人工生命とロボットに関する国際会議予稿集
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人工生命とロボットに関する国際会議予稿集 29 1025-1031, 2024-02-22
株式会社ALife Robotics
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詳細情報 詳細情報について
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- CRID
- 1390581456538570880
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- ISSN
- 21887829
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可