A penalized motion detection model for extracting ionospheric echoes from low signal-to-noise ratio Ionogram video images

DOI

書誌事項

公開日
2024-02-22
バージョン
01
DOI
  • 10.5954/icarob.2024.gs5-3
公開者
株式会社ALife Robotics

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

キーワード

詳細情報 詳細情報について

  • CRID
    1390581456538570880
  • DOI
    10.5954/icarob.2024.gs5-3
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用不可

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