56 citations · 174 across the 10 of their papers we have counts for
10 papers
Planetary computing for data-driven environmental policy-making
Patrick Ferris, Michael Dales, Sadiq Jaffer +8
We make a case for "planetary computing" -- infrastructure to handle the ingestion, transformation, analysis and publication of global data products for furthering environmental sc…
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…
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…
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs
Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield +6
Logged forests cover four million square kilometres of the tropics and restoring these forests is essential if we are to avoid the worst impacts of climate change, yet monitoring r…
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield +4
Developing a robust algorithm for automatic individual tree crown (ITC) detection from laser scanning datasets is important for tracking the responses of trees to anthropogenic cha…
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
Philip Sellars, Angelica Aviles-Rivero, Nicolas Papadakis +3
In this paper, we present a graph-based semi-supervised framework for hyperspectral image classification. We first introduce a novel superpixel algorithm based on the spectral cova…