An interactive visualization system for selecting hyperspectral features in regression models is presented, with a case study showing expert-selected subsets matching or beating automatic selection for sorghum biomass prediction.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images
An interactive visualization system for selecting hyperspectral features in regression models is presented, with a case study showing expert-selected subsets matching or beating automatic selection for sorghum biomass prediction.