A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification

TytułA Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification
Publication TypeJournal Article
Rok publikacji2019
AutorzyCholewa M, Głomb P, Romaszewski M
JournalIEEE Geoscience and Remote Sensing Letters
Volume16
Pagination467-471
Date PublishedMarch
ISSN1545-598X
Słowa kluczoweClassification algorithms, Data models, Hyperspectral imaging, Labeling, semisupervised learning, Spatial databases, Support vector machines, Training
DOI10.1109/LGRS.2018.2868862