Spectral Contextual Classification of Hyperspectral Imagery With Probabilistic Relaxation Labeling

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2016.2609882 ◽

2017 ◽

Vol 47 (12) ◽

pp. 4380-4391 ◽

Author(s):

Brajesh Kumar ◽

Onkar Dikshit

Keyword(s):

Hyperspectral Imagery ◽

Relaxation Labeling ◽

Probabilistic Relaxation

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Atmospheric effects on the classification of surface minerals in an arid region using Short-Wave Infrared (SWIR) hyperspectral imagery and a spectral unmixing technique

Canadian Journal of Remote Sensing ◽

10.5589/m02-069 ◽

2002 ◽

Vol 28 (6) ◽

pp. 738-749 ◽

Author(s):

Christian Nadeau ◽

Robert A Neville ◽

Karl Staenz ◽

Norman T O'Neill ◽

Alain Royer

Keyword(s):

Arid Region ◽

Hyperspectral Imagery ◽

Spectral Unmixing ◽

Atmospheric Effects ◽

Short Wave Infrared

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A new sparse multiple-kernel learning method for classification of hyperspectral imagery

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2013.8080695 ◽

2013 ◽

Author(s):

Yanfeng Gu ◽

Kai Feng ◽

Hong Wang

Keyword(s):

Hyperspectral Imagery ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Method ◽

Multiple Kernel

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Classification of urban vegetation patterns from hyperspectral imagery: hybrid algorithm based on genetic algorithm tuned fuzzy support vector machine

Optical Engineering ◽

10.1117/1.oe.51.11.111709 ◽

2012 ◽

Vol 51 (11) ◽

pp. 111709 ◽

Author(s):

Mandi Zhou

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Hybrid Algorithm ◽

Hyperspectral Imagery ◽

Support Vector ◽

Urban Vegetation ◽

Vegetation Patterns ◽

Fuzzy Support Vector Machine

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Classification of large-sized hyperspectral imagery using fast machine learning algorithms

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.035005 ◽

2017 ◽

Vol 11 (3) ◽

pp. 035005

Author(s):

Junshi Xia ◽

Naoto Yokoya ◽

Akira Iwasaki

Keyword(s):

Machine Learning ◽

Hyperspectral Imagery ◽

Learning Algorithms ◽

Machine Learning Algorithms

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Multiple Feature Fusion for Fine Classification of Crops in UAV Hyperspectral Imagery

10.1109/igarss47720.2021.9553490 ◽

2021 ◽

Author(s):

Yajing Liang ◽

Lifei Wei ◽

Qikai Lu

Keyword(s):

Feature Fusion ◽

Hyperspectral Imagery ◽

Multiple Feature ◽

Multiple Feature Fusion ◽

Fine Classification

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Sparsity-based classification of hyperspectral imagery

2010 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2010.5649357 ◽

2010 ◽

Author(s):

Yi Chen ◽

Nasser M. Nasrabadi ◽

Trac D. Tran

Keyword(s):

Hyperspectral Imagery

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Spatial Functional Data Analysis for the Spatial–Spectral Classification of Hyperspectral Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2018.2884077 ◽

2019 ◽

Vol 16 (6) ◽

pp. 942-946

Author(s):

Meng Lv ◽

James E. Fowler ◽

Ling Jing

Keyword(s):

Data Analysis ◽

Functional Data Analysis ◽

Functional Data ◽

Hyperspectral Imagery ◽

Spectral Classification ◽

Spatial Functional Data

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Spectral-spatial classification of hyperspectral imagery based on deep convolutional network

2016 International Conference on Orange Technologies (ICOT) ◽

10.1109/icot.2016.8278975 ◽

2016 ◽

Author(s):

Haokui Zhang ◽

Ying Li

Keyword(s):

Hyperspectral Imagery ◽

Convolutional Network ◽

Spatial Classification ◽

Deep Convolutional Network

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Supervised classification of snow cover using hyperspectral imagery

2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) ◽

10.1109/icetcct.2017.8280302 ◽

2017 ◽

Author(s):

Divyesh Varade ◽

Ajay K Maurya ◽

Anudeep Sure ◽

Onkar Dikshit

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery

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Investigation of band selection techniques to enable classification of hyperspectral imagery at the edge

Real-Time Image Processing and Deep Learning 2021 ◽

10.1117/12.2585591 ◽

2021 ◽

Author(s):

Samantha Butler ◽

Stanton R. Price ◽

Ali C. Gurbuz ◽

Stephanie J. Price ◽

Joshua R. Fairley

Keyword(s):

Hyperspectral Imagery ◽

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