Band Selection for Hyperspectral Imagery Using Affinity Propagation

2008 Digital Image Computing: Techniques and Applications ◽

10.1109/dicta.2008.42 ◽

2008 ◽

Cited By ~ 20

Author(s):

Sen Jia ◽

Yuntao Qian ◽

Zhen Ji

Keyword(s):

Hyperspectral Imagery ◽

Affinity Propagation ◽

Band Selection ◽

Selection For

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Band selection for hyperspectral imagery using affinity propagation

IET Computer Vision ◽

10.1049/iet-cvi.2009.0034 ◽

2009 ◽

Vol 3 (4) ◽

pp. 213 ◽

Cited By ~ 114

Author(s):

Y. Qian ◽

F. Yao ◽

S. Jia

Keyword(s):

Hyperspectral Imagery ◽

Affinity Propagation ◽

Band Selection ◽

Selection For

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Linearly constrained band selection for hyperspectral imagery

10.1117/12.665286 ◽

2006 ◽

Cited By ~ 1

Author(s):

Su Wang ◽

Chein-I Chang

Keyword(s):

Hyperspectral Imagery ◽

Band Selection ◽

Linearly Constrained ◽

Selection For

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Band Selection for Hyperspectral Imagery with PCA-MIG

Web-Age Information Management - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33050-6_13 ◽

2012 ◽

pp. 119-127 ◽

Cited By ~ 2

Author(s):

Kitti Koonsanit ◽

Chuleerat Jaruskulchai ◽

Apisit Eiumnoh

Keyword(s):

Hyperspectral Imagery ◽

Band Selection ◽

Selection For

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Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands

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

10.1109/jstars.2020.2984568 ◽

2020 ◽

Vol 13 ◽

pp. 1597-1609 ◽

Cited By ~ 1

Author(s):

Ji Zhao ◽

Suzheng Tian ◽

Christian Geis ◽

Lizhe Wang ◽

Yanfei Zhong ◽

...

Keyword(s):

Hyperspectral Imagery ◽

Band Selection ◽

Spatial Classification ◽

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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Band selection for target detection in hyperspectral imagery using sparse CEM

Remote Sensing Letters ◽

10.1080/2150704x.2014.993482 ◽

2014 ◽

Vol 5 (12) ◽

pp. 1022-1031 ◽

Cited By ~ 15

Author(s):

Xiurui Geng ◽

Kang Sun ◽

Luyan Ji

Keyword(s):

Target Detection ◽

Hyperspectral Imagery ◽

Band Selection ◽

Selection For

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An Adequate Band Selection for Vegetation Index of CASI-1500 Airborne Hyperspectral Imagery Using Image Differencing and Spectral Derivative

Journal of the Korean Association of Geographic Information Studies ◽

10.11108/kagis.2013.16.4.016 ◽

2013 ◽

Vol 16 (4) ◽

pp. 16-28

Author(s):

Tae-Woo Kim ◽

Gwang-Jae We ◽

Yong-Cheol Suh

Keyword(s):

Vegetation Index ◽

Hyperspectral Imagery ◽

Band Selection ◽

Image Differencing ◽

Selection For

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Dynamic band selection for hyperspectral imagery

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049685 ◽

2011 ◽

Cited By ~ 3

Author(s):

Keng-Hao Liu ◽

Chein-I Chang

Keyword(s):

Hyperspectral Imagery ◽

Band Selection ◽

Selection For

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Importance Of Band Selection For Ethene And Methanol Gas Detection In Hyperspectral Imagery

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2018.8747048 ◽

2018 ◽

Author(s):

Safak Ozturk ◽

Yunus Emre Esin ◽

Yusuf Artan ◽

Omer Ozdil ◽

Berkan Demirel

Keyword(s):

Hyperspectral Imagery ◽

Gas Detection ◽

Band Selection ◽

Selection For

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A Parallel Simulated Annealing Approach to Band Selection for Hyperspectral Imagery

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4779164 ◽

2008 ◽

Cited By ~ 4

Author(s):

Yang-Lang Chang ◽

Jyh-Perng Fang ◽

Wen-Yew Liang ◽

Lena Chang ◽

Hsuan Ren ◽

...

Keyword(s):

Simulated Annealing ◽

Hyperspectral Imagery ◽

Band Selection ◽

Selection For ◽

Parallel Simulated Annealing

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