2022 Fiscal Year Final Research Report
Research for multi-functional electromagnetic imaging method by integrating radar and tomography
Project/Area Number |
20H02161
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 21030:Measurement engineering-related
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Research Institution | The University of Electro-Communications |
Principal Investigator |
Kidera Shouhei 電気通信大学, 大学院情報理工学研究科, 教授 (00549701)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | マイクロ波イメージング / 複素誘電率イメージング / レーダ画像化 / 逆散乱解析 / 電磁波伝搬 / 乳癌診断 / 道路非破壊診断 / 信号処理 |
Outline of Final Research Achievements |
In this project, we have developed a new image analysis method for microwave structural imaging method that integrates radar and tomography methods in a bidirectional manner. In particular, the introduction of Green's function estimation and clutter suppression by the tomography method essentially improves the problems of conventional radar imaging in heterogeneous background media, such as biological tissue and underground structures. Furthermore, by assigning unknowns only to the target area estimated by radar imagery, the ill-posed condition of the tomography method is greatly mitigated, and the complex permittivity estimation system is improved. The effectiveness of the method was verified by numerical analysis and experimental data on both a road non-destructive measurement model and a breast cancer diagnosis model, and it was demonstrated that the method can extract complex permittivity information, which has been difficult so far.
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Free Research Field |
計測工学
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Academic Significance and Societal Importance of the Research Achievements |
本課題で構築されたレーダとトモグラフィの双方向融合による複素誘電率イメージング技術は,当該分野における実例が殆どない.また深層学習に基づく校正法を導入することで,これまで実環境下では抽出が難しかった複素誘電率を直接的に推定することを実証したのは,特筆すべき成果である.さらに同技術を社会的に重要な,道路・橋梁等の内部非破壊計測技術や乳がん診断を目的としたマイクロ波医療診断応用において,その有効性が実証されたことも重要な成果である.本成果を基盤として,本手法の完成度をさらに高めるともに,同技術の実用展開を見据えて,より大規模な問題を効率的に解く技術を開発していくことが重要である.
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