2 citations · 4 across the 5 of their papers we have counts for
9 papers
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
Kangning Cui, Ruoning Li, Sam L. Polk +3
Hyperspectral images, which store a hundred or more spectral bands of reflectance, have become an important data source in natural and social sciences. Hyperspectral images are oft…
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
Sam L. Polk, Aland H. Y. Chan, Kangning Cui +3
Ash dieback (Hymenoscyphus fraxineus) is an introduced fungal disease that is causing the widespread death of ash trees across Europe. Remote sensing hyperspectral images encode ri…
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation
Ruoning Li, Kangning Cui, Raymond H. Chan +1
In this work, a novel algorithm called SVM with Shape-adaptive Reconstruction and Smoothed Total Variation (SaR-SVM-STV) is introduced to classify hyperspectral images, which makes…
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images
Sam L. Polk, Kangning Cui, Robert J. Plemmons +1
Hyperspectral images encode rich structure that can be exploited for material discrimination by machine learning algorithms. This article introduces the Active Diffusion and VCA-As…
Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm
Chao Wang, Raymond H. Chan, Robert J. Plemmons +1
We consider three-dimensional (3D) localization and imaging of space debris from only one two-dimensional (2D) snapshot image. The technique involves an optical imager that exploit…
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function
Chao Wang, Grey Ballard, Robert Plemmons +1
We consider the problem of joint three-dimensional (3D) localization and material classification of unresolved space debris using a multispectral rotating point spread function (RP…