SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2015.8075464 ◽

2015 ◽

Cited By ~ 2

Author(s):

Filipe Condessa ◽

Jose Bioucas-Dias ◽

Jelena Kovacevic

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

Structure Tensor ◽

Convex Formulation

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Supervised hyperspectral image segmentation: A convex formulation using hidden fields

2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2014.8077490 ◽

2014 ◽

Cited By ~ 4

Author(s):

Filipe Condessa ◽

Jose Bioucas-Dias ◽

Jelena Kovacevic

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

Convex Formulation

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Convex Formulation and Exact Global Solutions for Multi-phase Piecewise Constant Mumford-Shah Image Segmentation

10.21236/ada518796 ◽

2009 ◽

Cited By ~ 9

Author(s):

Ethan S. Brown ◽

Tony F. Chan ◽

Xavier Bresson

Keyword(s):

Image Segmentation ◽

Global Solutions ◽

Piecewise Constant ◽

Multi Phase ◽

Convex Formulation

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Hyperspectral Image Segmentation For Paint Analysis

10.1109/icip42928.2021.9506558 ◽

2021 ◽

Author(s):

Nathan Magro ◽

Alexandra Bonnici ◽

Stefania Cristina

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

Paint Analysis

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Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2010.2060550 ◽

2010 ◽

Cited By ~ 216

Author(s):

Jun Li ◽

José M. Bioucas-Dias ◽

Antonio Plaza

Keyword(s):

Logistic Regression ◽

Image Segmentation ◽

Active Learning ◽

Hyperspectral Image ◽

Multinomial Logistic Regression

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Fuzzy Based Hyperspectral Image Segmentation Using Subpixel Detection[

International Journal of Information Sciences and Techniques ◽

10.5121/ijist.2014.4322 ◽

2014 ◽

Vol 4 (3) ◽

pp. 179-188

Author(s):

Veera SenthilKumar.G ◽

Dhivya. M ◽

Sivasangari. R ◽

Suganya. V

Keyword(s):

Image Segmentation ◽

Hyperspectral Image

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Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2011.2128330 ◽

2011 ◽

Vol 49 (10) ◽

pp. 3947-3960 ◽

Cited By ~ 278

Author(s):

Jun Li ◽

José M. Bioucas-Dias ◽

Antonio Plaza

Keyword(s):

Image Segmentation ◽

Active Learning ◽

Bayesian Approach ◽

Hyperspectral Image

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Hyperspectral image segmentation using spatial-spectral graphs

10.1117/12.919743 ◽

2012 ◽

Cited By ~ 18

Author(s):

David B. Gillis ◽

Jeffrey H. Bowles

Keyword(s):

Image Segmentation ◽

Hyperspectral Image

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Hyperspectral image segmentation using the Dirichlet mixture models

2014 22nd Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2014.6830396 ◽

2014 ◽

Author(s):

Ibrahim Onur Sigirci ◽

Gokhan Bilgin

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Hyperspectral Image ◽

Dirichlet Mixture

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Hyperspectral Image Segmentation via Frequency-Based Similarity for Mixed Noise Estimation

Remote Sensing ◽

10.3390/rs9121237 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1237 ◽

Cited By ~ 7

Author(s):

Peng Fu ◽

Xin Sun ◽

Quansen Sun

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

Noise Estimation ◽

Mixed Noise

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Hyperspectral image segmentation using Binary Partition Trees

2011 18th IEEE International Conference on Image Processing ◽

10.1109/icip.2011.6115666 ◽

2011 ◽

Cited By ~ 5

Author(s):

Silvia Valero ◽

Philippe Salembier ◽

Jocelyn Chanussot

Keyword(s):

Image Segmentation ◽

Hyperspectral Image ◽

Binary Partition

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