18 citations · 39 across the 16 of their papers we have counts for
6 papers · 1 filter
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Kangning Cui, Seda Camalan, Ruoning Li +7
Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests…
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…
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…