7 papers
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
Haley Duba-Sullivan, Emma J. Reid, Sophie Voisin +2
Multispectral imaging (MSI) plays a critical role in material classification, environmental monitoring, and remote sensing. However, MSI sensors typically have wavelength-dependent…
MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
Mohammad Samin Nur Chowdhury, Shimin Tang, Singanallur V. Venkatakrishnan +3
Residual strain, a tensor quantity, is a critical material property that impacts the overall performance of metal parts. Neutron Bragg edge strain tomography is a technique for ima…
Fast Hyperspectral Neutron Tomography
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +4
Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. I…
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging
Tony G. Allen, David J. Rabb, Gregery T. Buzzard +1
Coherent lidar uses a chirped laser pulse for 3D imaging of distant targets. However, existing coherent lidar image reconstruction methods do not account for the system's aperture,…
Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +5
Hyperspectral neutron computed tomography enables 3D non-destructive imaging of the spectral characteristics of materials. In traditional hyperspectral reconstruction, the data for…
Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +4
Hyperspectral neutron tomography is an effective method for analyzing crystalline material samples with complex compositions in a non-destructive manner. Since the counts in the hy…