Open AccessNonlinear dimensionality reduction of hyperspectral images based on spectral angles and exploiting the spatial context
Author(s) -
Evgeny Myasnikov
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1096/1/012037
Subject(s) - hyperspectral imaging , pixel , dimensionality reduction , principal component analysis , artificial intelligence , pattern recognition (psychology) , context (archaeology) , spatial contextual awareness , full spectral imaging , curse of dimensionality , computer science , mathematics , nonlinear system , computer vision , remote sensing , geography , physics , archaeology , quantum mechanics