3 papers
cs.CV2026
Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification
Vutichart Buranasiri, James M. Murphy
Two active learning algorithms for hyperspectral image (HSI) classification are proposed that combine density-aware Fermat distances with Poisson-reweighted harmonic label propagat…
cs.CV2026
Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Vutichart Buranasiri, James M. Murphy
An unsupervised framework for hyperspectral image (HSI) clustering is proposed that incorporates masked deep representation learning with diffusion-based clustering, extending the…
cs.CV2026
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
Joshua Lentz, Nicholas Karris, Alex Cloninger +1
Hyperspectral images capture vast amounts of high-dimensional spectral information about a scene, making labeling an intensive task that is resistant to out-of-the-box statistical…