Publications

Shingo Takemoto, Shunsuke Ono, "Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping," arXiv:2404.03313, 2024. [arXiv] [code] [project]

Shingo Takemoto, Kazuki Naganuma, 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]

International Conference Proceedings (peer-reviewed)

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, China, pp. -, Dec. 2024. (paper student paper award runner-up)

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, "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, 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, 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, Mar. 2022. (第6回IEEE Signal Processing Society (SPS) Tokyo Joint Chapter Student Award)