Sumi-supervised deep autoencoder network for graph-based dimensionality reduction in hyperspectral imagery

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV ◽

10.1117/12.2303912 ◽

2018 ◽

Author(s):

Xuewen Zhang ◽

Nathan D. Cahill

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery

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Supervised Dimensionality Reduction of Hyperspectral Imagery via Local and Global Sparse Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3069030 ◽

2021 ◽

pp. 1-1

Author(s):

Faxian Cao ◽

Zhijing Yang ◽

Xiaobin Hong ◽

Yongqiang Chen ◽

Yuezhen Huang ◽

...

Keyword(s):

Dimensionality Reduction ◽

Sparse Representation ◽

Hyperspectral Imagery

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Dimensionality reduction and classification based on lower rank tensor analysis for hyperspectral imagery

JOURNAL OF INFRARED AND MILLIMETER WAVES ◽

10.3724/sp.j.1010.2013.00569 ◽

2013 ◽

Vol 32 (6) ◽

pp. 569

Author(s):

Zhao CHEN ◽

Bin WANG ◽

Li-Ming ZHANG

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Tensor Analysis ◽

Lower Rank ◽

Rank Tensor

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Dimensionality Reduction of Hyperspectral Imagery Data for FeatureClassification

Handbook of Geomathematics ◽

10.1007/978-3-642-01546-5_34 ◽

2010 ◽

pp. 1005-1047 ◽

Cited By ~ 6

Author(s):

Charles K. Chui ◽

Jianzhong Wang

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Imagery Data

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Dimensionality Reduction of Hyperspectral Imagery Data for FeatureClassification

10.1007/springerreference_205082 ◽

2012 ◽

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Imagery Data

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Dimensionality Reduction Using Band Correlation and Variance Measure from Discrete Wavelet Transformed Hyperspectral Imagery

Annals of Data Science ◽

10.1007/s40745-019-00210-x ◽

2019 ◽

Cited By ~ 1

Author(s):

Arati Paul ◽

Nabendu Chaki

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Discrete Wavelet

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Dimensionality Reduction of Hyperspectral Imagery

Optical Satellite Signal Processing and Enhancement ◽

10.1117/3.1000981.ch13 ◽

2013 ◽

Cited By ~ 1

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery

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Spectral-Angle-based Laplacian Eigenmaps for Nonlinear Dimensionality Reduction of Hyperspectral Imagery

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.80.9.849 ◽

2014 ◽

Vol 80 (9) ◽

pp. 849-861 ◽

Cited By ~ 12

Author(s):

Lin Yan ◽

Xutong Niu

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Nonlinear Dimensionality Reduction ◽

Laplacian Eigenmaps ◽

Spectral Angle

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Spatial-spectral dimensionality reduction of hyperspectral imagery with partial knowledge of class labels

10.1117/12.2177139 ◽

2015 ◽

Cited By ~ 7

Author(s):

Nathan D. Cahill ◽

Selene E. Chew ◽

Paul S. Wenger

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Partial Knowledge ◽

Spectral Dimensionality ◽

Class Labels

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Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery

2020 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip40778.2020.9190710 ◽

2020 ◽

Author(s):

Mohammed Q. Alkhatib ◽

Miguel Velez-Reyes

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Subset Selection ◽

Superpixel Segmentation ◽

Selection For

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Dimensionality reduction by optimal band selection for pixel classification of hyperspectral imagery

10.1117/12.158622 ◽

1993 ◽

Cited By ~ 17

Author(s):

Stephen D. Stearns ◽

Bruce E. Wilson ◽

James R. Peterson

Keyword(s):

Dimensionality Reduction ◽

Hyperspectral Imagery ◽

Band Selection ◽

Pixel Classification ◽

Selection For

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