Potential and limitations of band selection and library pruning in sparse hyperspectral unmixing

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

10.1109/whispers.2015.8075497 ◽

2015 ◽

Author(s):

Marian-Daniel Iordache ◽

Jose M. Bioucas-Dias ◽

Antonio Plaza

Keyword(s):

Band Selection ◽

Hyperspectral Unmixing

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High-Efficiency Hyperspectral Unmixing Based on Band Selection

2012 Third Global Congress on Intelligent Systems ◽

10.1109/gcis.2012.39 ◽

2012 ◽

Author(s):

Yang Zhou ◽

Xiaorun Li ◽

Jiantao Cui

Keyword(s):

High Efficiency ◽

Band Selection ◽

Hyperspectral Unmixing

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A band selection technique for optimized hyperspectral unmixing

Journal of Geospatial Information Technology ◽

10.29252/jgit.6.3.101 ◽

2018 ◽

Vol 6 (3) ◽

pp. 101-122

Author(s):

Omid Ghaffari ◽

Mohammad Javad Valadan Zoej ◽

Mehdi Mokhtarzade ◽

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...

Keyword(s):

Band Selection ◽

Selection Technique ◽

Hyperspectral Unmixing

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Hyperspectral Band Selection Based on Endmember Dissimilarity for Hyperspectral Unmixing

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8517636 ◽

2018 ◽

Author(s):

Mingming Xu ◽

Yuxiang Zhang ◽

Jie Li ◽

Jiayi Li ◽

Dongmei Song ◽

...

Keyword(s):

Band Selection ◽

Hyperspectral Unmixing

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Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms

Signal Image and Video Processing ◽

10.1007/s11760-018-1301-1 ◽

2018 ◽

Vol 12 (8) ◽

pp. 1463-1470

Author(s):

M. Swarna ◽

V. Sowmya ◽

K. P. Soman

Keyword(s):

Band Selection ◽

Variational Mode Decomposition ◽

Hyperspectral Unmixing ◽

Mode Decomposition

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Band selection based hyperspectral unmixing

2009 IEEE International Workshop on Imaging Systems and Techniques ◽

10.1109/ist.2009.5071654 ◽

2009 ◽

Author(s):

Sen Jia ◽

Zhen Ji ◽

Yuntao Qian

Keyword(s):

Band Selection ◽

Hyperspectral Unmixing

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Performance Evaluation of an Improved Multiband Impulse Radio UWB Communication System Based on Sub-Band Selection

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e99.a.1446 ◽

2016 ◽

Vol E99.A (7) ◽

pp. 1446-1454

Author(s):

Lin QI ◽

Masaaki KATAYAMA

Keyword(s):

Performance Evaluation ◽

Communication System ◽

Impulse Radio ◽

Band Selection ◽

Uwb Communication

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Spectral band Selection Using a Genetic Algorithm Based Wiener Filter Estimation Method for Reconstruction of Munsell Spectral Data

Electronic Imaging ◽

10.2352/issn.2470-1173.2017.18.color-059 ◽

2017 ◽

Vol 2017 (18) ◽

pp. 190-193 ◽

Author(s):

Keivan Ansari ◽

Jean-Baptiste Thomas ◽

Pierre Gouton

Keyword(s):

Genetic Algorithm ◽

Spectral Data ◽

Spectral Band ◽

Estimation Method ◽

Wiener Filter ◽

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Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287456 ◽

2021 ◽

Author(s):

Timothy Marrinan ◽

Nicolas Gillis

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Hyperspectral Unmixing

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Band selection of satellite images using Histogram distribution and Mineral Mapping using Artificial Neural Network

10.35625/cm960127x ◽

2019 ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Satellite Images ◽

Band Selection ◽

Mineral Mapping ◽

Artificial Neural ◽

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Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2890848 ◽

2019 ◽

Vol 57 (7) ◽

pp. 4360-4374 ◽

Author(s):

Xiaohui Wei ◽

Wen Zhu ◽

Bo Liao ◽

Lijun Cai

Keyword(s):

Representation Learning ◽

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