Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization With Local and Nonlocal Features

Although a graph-based semisupervised learning (SSL) approach can utilize limited numbers of labeled samples for hyperspectral image (HSI) classification, it is difficult to use the large amount of pixels in an HSI to construct a large-scale graph. In this article, we therefore propose a superpixel-...

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Bibliografische Detailangaben

Hauptverfasser:	Longshan Yang, Junhuan Peng, Yuebin Wang, Linlin Xu, Weiwei Zhu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2022-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Anchor graph feature-extraction hyperspectral image semisupervised classification superpixel
Online-Zugang:	https://ieeexplore.ieee.org/document/9832660/
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