Shingo Takemoto and Shunsuke Ono, "Geometric Spatio-Spectral Total Variation for Hyperspectral Image Denoising and Destriping," [arXiv][GitHub]
Yudai Inada, Shingo Takemoto, and Shunsuke Ono, "Efficient and accurate full-waveform inversion with total variation constraint," [arXiv] [GitHub] [project]
Shingo Takemoto, Kazuki Naganuma, and Shunsuke Ono, "Spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 19157-19175, Jul. 2025. [Official (OA)] [arXiv] [code] [project]
Shingo Takemoto, Kazuki Naganuma, and Shunsuke Ono, "Graph spatio-spectral total variation for hyperspectral image denoising," IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 6012405, pp. 1-5, 2022. [official] [arXiv] [MATLAB] [project]
2025
Shingo Takemoto and Shunsuke Ono, “Spatio-spectral regularization aided by graph modelings for hyperspectral image denoising,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brisbane, Australia, pp. 7519-7523, Aug. 2025.
2024
Shingo Takemoto and Shunsuke Ono, "Rotation invariant spatio-spectral total variation for hyperspectral image denoising," in Proceedings of APSIPA Annual Summit and Conference (APSIPA ASC), Macau, Macao, pp. 1-6, Dec. 2024. (student paper award runner-up) [official]
Shingo Takemoto and Shunsuke Ono, "Enhancing spatio-spectral regularization by graph modeling for hyperspectral image denoising," in Proceedings of Graph Signal Analysis and Learning Workshop (GSAL), Osaka, Japan, Jul. 2024.
Shingo Takemoto and Shunsuke Ono, "Enhancing spatio-spectral regularization by structure tensor modeling for hyperspectral image denoising," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, pp. 1-5, June 2023. [official]
竹本真悟, 山下遥, "クラス間の距離を考慮した多変量2値分布における代表点分析法に関する研究," 情報処理学会論文誌, vol. 64, no.1, pp. 1-10, Jan. 2023.
竹本真悟, 小野峻佑, "Graph-aided spatio-spectral total variation for hyperspectral image denoising," 第39回信号処理シンポジウム, 北海道, Dec. 2024.
稲田雄大, 竹本真悟, 小野峻佑, "Efficient full waveform inversion subject to a total variation constraint," 第39回信号処理シンポジウム, 北海道, Dec. 2024.
竹本真悟, 小野峻佑, "Reflection-invariant spatial-spectral total variation for hyperspectral image denoising and destriping," 第39回画像符号化シンポジウム, 静岡, Nov. 2024.
竹本真悟, 小野峻佑, "Rotation invariant spatio-spectral total variationによるハイパースペクトル画像復元," 第38回信号処理シンポジウム, 京都, Nov. 2023.
竹本真悟, 小野峻佑, "Structure tensor regularization of spatio-spectral difference for hyperspectral image denoising," 第37回信号処理シンポジウム, 新潟, Dec. 2022.
竹本真悟, 長沼一輝, 小野峻佑, "グラフに基づく空間-スペクトル全変動によるハイパースペクトル画像復元," 電子情報通信学会 信号処理研究会, Online, Mar. 2022. (第6回IEEE Signal Processing Society (SPS) Tokyo Joint Chapter Student Award)