92 citations · 193 across the 8 of their papers we have counts for
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cs.CV2019★ 92 cited
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
Philip Sellars, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb
A central problem in hyperspectral image classification is obtaining high classification accuracy when using a limited amount of labelled data. In this paper we present a novel gra…
cs.CV2019★ 5 cited
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…