Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification

Regularization has appeared explicitly in hyperspectral image (HSI) classification community, which serves as a promising paradigm for leveraging labeled and unlabeled information, computer's automation and user's interaction, spectral and spatial information, and so on. Graph-based regula...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2017-04, Vol.55 (4), p.2351-2366
Hauptverfasser:	Xue, Zhaohui, Du, Peijun, Li, Jun, Su, Hongjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning (AL) Algorithms Automation Classification Dictionaries Glossaries hyperspectral image (HSI) classification Hyperspectral imaging Image classification Laplace equations Machine learning Methods Predictions Regularization Regularization methods Remote sensing Robustness (mathematics) Semi-supervised learning semisupervised learning sparse graph regularization Sparse matrices sparse representation (SR) Spatial data Spatial discrimination learning Support vector machines total variation
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