18 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Kangning Cui, Ruoning Li, Sam L. Polk +5
Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene, crucial for various remote sensing applications. However, the high dimensionality, prese…
cs.CV2022★ 1 cited
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…
cs.CV2022★ 18 cited
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images
Sam L. Polk, Kangning Cui, Aland H. Y. Chan +3
Hyperspectral images taken from aircraft or satellites contain information from hundreds of spectral bands, within which lie latent lower-dimensional structures that can be exploit…