Segmentation and classification of hyperspectral images using watershed transformation

DOI10.1016/j.patcog.2010.01.016zbMath1209.68488OpenAlexW2149471024WikidataQ61452084 ScholiaQ61452084MaRDI QIDQ969072

J. A. Benediktsson, Y. Tarabalka, Jocelyn Chanussot

Publication date: 11 May 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.01.016

zbMATH Keywords

classificationsegmentationmathematical morphologyhyperspectral imageswatershed

Mathematics Subject Classification ID

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

Related Items (8)

Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image ⋮ Статистический метод в задачах кластеризации данных ⋮ Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system ⋮ Non-local blind hyperspectral image super-resolution via 4D sparse tensor factorization and low-rank ⋮ Robust subspace learning method for hyperspectral image classification ⋮ Classification of hyperspectral images by tensor modeling and additive morphological decomposition ⋮ Hyperspectral image restoration using framelet-regularized low-rank nonnegative matrix factorization ⋮ Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization

Uses Software

• LIBSVM
• ENVI

Cites Work

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• Unnamed Item
• ENVI
• An improved watershed algorithm based on efficient computation of shortest paths
• Statistical pattern recognition in remote sensing
• Topographic distance and watershed lines
• A comparative study on multivariate mathematical morphology
• MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES
• Morphological operators on the unit circle

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