A Two-Stage Feature Selection Framework for Hyperspectral Image Classification Using Few Labeled Samples

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

10.1109/jstars.2013.2282161 ◽

2014 ◽

Vol 7 (4) ◽

pp. 1023-1035 ◽

Author(s):

Sen Jia ◽

Zexuan Zhu ◽

Linlin Shen ◽

Qingquan Li

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Two Stage ◽

Selection Framework

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Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2016.2642479 ◽

2017 ◽

Vol 55 (4) ◽

pp. 2385-2398 ◽

Author(s):

Bharath Bhushan Damodaran ◽

Nicolas Courty ◽

Sebastien Lefevre

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Selection For ◽

Independence Criterion

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Impact of Feature Extraction and Feature Selection Techniques on Extended Attribute Profile-based Hyperspectral Image Classification

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications ◽

10.5220/0006171305790586 ◽

2017 ◽

Author(s):

Rania Zaatour ◽

Sonia Bouzidi ◽

Ezzeddine Zagrouba

Keyword(s):

Feature Extraction ◽

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Feature Selection Techniques

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Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification

Proceedings of the Genetic and Evolutionary Computation Conference ◽

10.1145/3321707.3321748 ◽

2019 ◽

Author(s):

Neil S. Walton ◽

John W. Sheppard ◽

Joseph A. Shaw

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification

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Ensemble CNN Based on Pixel-Pair and Random Feature Selection for Hyperspectral Image Classification with Small-Size Training Set

10.1109/igarss47720.2021.9555055 ◽

2021 ◽

Author(s):

Shuxian Dong ◽

Yinghui Quan ◽

Wei Feng ◽

Qiang Li ◽

Gabriel Dauphin ◽

...

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Training Set ◽

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An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine

Knowledge-Based Systems ◽

10.1016/j.knosys.2010.07.003 ◽

2011 ◽

Vol 24 (1) ◽

pp. 40-48 ◽

Author(s):

Shijin Li ◽

Hao Wu ◽

Dingsheng Wan ◽

Jiali Zhu

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Feature Selection Method ◽

Selection Method ◽

Support Vector ◽

Hyperspectral Image Classification

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A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2233711 ◽

2013 ◽

Vol 10 (5) ◽

pp. 1152-1156 ◽

Author(s):

Chen Yang ◽

Sicong Liu ◽

L. Bruzzone ◽

Renchu Guan ◽

Peijun Du

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Affinity Propagation ◽

Hyperspectral Image Classification ◽

Propagation Technique

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Two-Level Band Selection Framework for Hyperspectral Image Classification

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-020-01262-w ◽

2020 ◽

Author(s):

Munmun Baisantry ◽

Anil Kumar Sao ◽

Dericks Praise Shukla

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Selection Framework

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Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947251 ◽

2014 ◽

Author(s):

G. Taskin Kaya ◽

Y. Torun ◽

C. Kucuk

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification

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PSO-based automatic relevance determination and feature selection system for hyperspectral image classification

Electronics Letters ◽

10.1049/el.2012.0539 ◽

2012 ◽

Vol 48 (20) ◽

pp. 1263 ◽

Author(s):

Xiangrong Zhang ◽

Wenna Wang ◽

Yangyang Li ◽

L.C. Jiao

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Selection System ◽

Hyperspectral Image Classification ◽

Automatic Relevance Determination

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Hyperspectral Image Classification Using Multiple Kernel Learning SVM with FA-KLD-LFDA for Multi Feature Selection

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i8.2598 ◽

2014 ◽

Vol 9 (8) ◽

pp. 1338

Author(s):

S. Venkatesh Kumar ◽

T. Karthikeyan

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Hyperspectral Image Classification ◽

Multiple Kernel

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