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

Tytuł	A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification
Publication Type	Journal Article
Rok publikacji	2019
Autorzy	Cholewa M, Głomb P, Romaszewski M
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	16
Date Published	March
ISSN	1545-598X
Słowa kluczowe	Classification algorithms, Data models, Hyperspectral imaging, Labeling, semisupervised learning, Spatial databases, Support vector machines, Training
DOI	10.1109/LGRS.2018.2868862

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