4 papers · 1 filter
Comprehensive Robust Dynamic Mode Decomposition from Mode Extraction to Dimensional Reduction
Yuki Nakamura, Shingo Takemoto, Shunsuke Ono
We propose Comprehensive Robust Dynamic Mode Decomposition (CR-DMD), a novel framework that robustifies the entire DMD process - from mode extraction to dimensional reduction - aga…
Geometric Spatio-Spectral Total Variation for Hyperspectral Image Denoising and Destriping
Shingo Takemoto, Shunsuke Ono
This article proposes a novel regularization method, named Geometric Spatio-Spectral Total Variation (GeoSSTV), for hyperspectral (HS) image denoising and destriping. HS images are…
Inner-Loop-Free Total-Variation-Constrained Full-Waveform Inversion
Shingo Takemoto, Shunsuke Ono
This paper proposes a computationally efficient algorithm to address the Full-Waveform Inversion (FWI) problem with a Total Variation (TV) constraint, designed to accurately recons…
Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping
Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono
This paper proposes a novel regularization method, named Spatio-Spectral Structure Tensor Total Variation (S3TTV), for denoising and destriping of hyperspectral (HS) images. HS ima…