論文

• Kazuki Naganuma, Shunsuke Ono. Towards robust hyperspectral unmixing: Mixed noise modeling and image-domain regularization, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 8117-8138, Mar. 2024.
• Ryosuke Isono, Kazuki Naganuma, Shunsuke Ono. Robust spatiotemporal fusion of satellite images: A constrained convex optimization approach, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.
• Kazuki Naganuma, Shunsuke Ono. Variable-wise diagonal preconditioning for primal-dual splitting: Design and applications, IEEE Transactions on Signal Processing, vol. 71, pp. 3281-3295, Aug. 2023.
• 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, July 2022.
• Kazuki Naganuma, Shunsuke Ono. A general destriping framework for remote sensing images using flatness constraint,, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, no. 5525016, pp. 1-16, Feb. 2022.

国際会議発表 (査読有り)

• Kazuki Naganuma, Shunsuke Ono. Hyperspectral unmixing with row-sparsity enhancement: A difference-of-convex approach, APSIPA Annual Summit and Conference (APSIPA ASC), Dec. 2024.
• Keitaro Yamashita, Kazuki Naganuma, Shunsuke Ono. Generalized graph signal sampling under subspace priors by difference-of-convex minimization, APSIPA Annual Summit and Conference (APSIPA ASC), Dec. 2024.
• Kazuki Naganuma, Shunsuke Ono. Diagonal preconditioning of a primal-dual splitting algorithm for graph signal processing, Graph Signal Analysis and Learning Workshop (GSAL), July 2024.
• Koyo Sato, Kazuki Naganuma, Shunsuke Ono. Enhancing hyperspectral anomaly detection by difference-of-convex sparse anomaly modeling, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 9921-9925, Apr. 2024.
• Kazuki Naganuma, Shunsuke Ono. Constrained hyperspectral unmixing robust to mixed noise, ASPIRE 2024, pp. 8, Mar. 2024.
• Kazuki Naganuma, Shunsuke Ono. Cross-frame foreground structural similarity modeling by convolutional sparse representation," in Proceedings of APSIPA Annual Summit and Conference, APSIPA Annual Summit and Conference, Oct. 2023.
• Kazuki Naganuma, Shunsuke Ono. Static-scene constrained optimization for matrix/tensor-decomposition-free foreground-background separation, IEEE International Conference on Acoustics, Speech, and Signal Processing, June 2023.
• Ryosuke Isono, Kazuki Naganuma, Shunsuke Ono. Robust spatiotemporal fusion of satellite images via convex optimization, IEEE International Conference on Acoustics, Speech, and Signal Processing, June 2023.
• Kazuki Naganuma, Shunsuke Ono. Operator-norm-based variable-wise diagonal preconditioning for automatic stepsize selection of a primal-dual splitting algorithm, European Signal Processing Conference (EUSIPCO), Aug. 2022.
• Kazuki Naganuma, Saori Takeyama, Shunsuke Ono. Zero-gradient constraints for destriping of remote-sensing data, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021, June 2021.

国内会議発表 (査読なし・不明)

• Kazuki Naganuma, Shunsuke Ono. Row-Sparsity-Enhanced Hyperspectral Unmixing via Difference-of-Convex Minimization, 第38回信号処理シンポジウム, Nov. 2023.
• Koyo Sato, Kazuki Naganuma, Shunsuke Ono. A Difference-of-Convex Approach to Hyperspectral Anomaly Detection, 第38回信号処理シンポジウム, Nov. 2023.
• Kazuki Naganuma, Shunsuke Ono. A Matrix-Decomposition-Free Video Foreground-Background Separation Framework based on Static-Scene Constraint, 第37回信号処理シンポジウム, Dec. 2022.
• 永松幸紀, 長沼一輝, 小野峻佑. 含有率マップの空間的相関を考慮したハイパースペクトルミクセル分解, 第37回信号処理シンポジウム, Dec. 2022.
• Ryosuke Isono, Kazuki Naganuma, Shunsuke Ono. A Robust Spatiotemporal Method of Fusing Satellite Images by Constrained Optimization, 第37回信号処理シンポジウム, Dec. 2022.
• Kazuki Naganuma, Shunsuke Ono. Convolutional Sparse Representation for Cross-Frame Similar Structure Modeling in Video Foreground-Background Separation, 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.
• 長沼一輝, 小野峻佑. 信号復元のための作用素ノルムに基づく主-双対近接分離法の自動ステップサイズ調整, 第36回信号処理シンポジウム, Nov. 2021.
• Kazuki Naganuma, Saori Takeyama, Shunsuke Ono. Remote sensing data restoration by constraining the gradients of stripe noise, IEICE Technical Workshop on Signal Processing, Mar. 2021.

学位論文

• Convex Optimization Techniques for Remote Sensing Data Analysis,  Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2024/03/26,   
• Convex Optimization Techniques for Remote Sensing Data Analysis,  Thesis,  Doctor (Engineering),  Tokyo Institute of Technology,  2024/03/26,   
• Convex Optimization Techniques for Remote Sensing Data Analysis,  Exam Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2024/03/26,   

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