Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels

Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels

Spectral image clustering is an unsupervised classification method which identifies distributions of pixels using spectral information without requiring a previous training stage. The sparse subspace clustering-based methods (SSC) assume that hyperspectral images lie in the union of multiple low-dim...

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Bibliographic Details
Main Authors: Jorge Luis Bacca, Henry Arguello
Format: Article
Language:English
Published: Instituto Tecnológico Metropolitano 2019-09-01
Series:TecnoLógicas
Subjects:
spectral images
spectral clustering
sparse subspace clustering
sub-sampling
image classification
Online Access:https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1205

Internet

https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1205

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