Classification of hyperspectral images by tensor modeling and additive morphological decomposition

DOI10.1016/j.patcog.2012.08.011zbMath1251.68193OpenAlexW2094492907MaRDI QIDQ1760428

Santiago Velasco-Forero, Jesús Angulo

Publication date: 13 November 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://hal-mines-paristech.archives-ouvertes.fr/hal-00751338/file/Additive_Tensor_decomposition.pdf

zbMATH Keywords

mathematical morphologyhyperspectral imagestensor modelingpixelwise classification

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (3)

Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing ⋮ Hyperspectral imaging technique based on Geodesic K-medoids clustering and Gabor wavelets for pork quality evaluation ⋮ Hyperspectral image classification based on mathematical morphology and tensor decomposition

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Tensor Decompositions and Applications
• Segmentation and classification of hyperspectral images using watershed transformation
• Modeling textures with total variation minimization and oscillating patterns in image processing
• A comparative study on multivariate mathematical morphology
• A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor
• A Multilinear Singular Value Decomposition
• Lower-Rank Tensor Approximation and Multiway Filtering
• Fast Cartoon + Texture Image Filters
• Supervised Ordering in ${\rm I}\!{\rm R}^p$: Application to Morphological Processing of Hyperspectral Images
• A linear constrained distance-based discriminant analysis for hyperspectral classification

This page was built for publication: Classification of hyperspectral images by tensor modeling and additive morphological decomposition