7 citations · 15 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Juheon Lee, David Coomes, Carola-Bibiane Schonlieb +6
Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management. Several algorithms for tree delineation have been suggested…