Mutual Information-Based Hierarchical Band Selection Approach for Hyperspectral Images

Lecture Notes in Electrical Engineering - Advances in Electronics, Communication and Computing ◽

10.1007/978-981-10-4765-7_78 ◽

2017 ◽

pp. 755-763 ◽

Author(s):

Sonia Sarmah ◽

Sanjib Kumar Kalita

Keyword(s):

Mutual Information ◽

Hyperspectral Images ◽

Band Selection ◽

Selection Approach

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A new band selection approach based on information theory and support vector machine for hyperspectral images reduction and classification

2017 International Symposium on Networks, Computers and Communications (ISNCC) ◽

10.1109/isncc.2017.8072002 ◽

2017 ◽

Author(s):

A. Elmaizi ◽

E. Sarhrouni ◽

A. Hammouch ◽

C. Nacir

Keyword(s):

Information Theory ◽

Support Vector Machine ◽

Hyperspectral Images ◽

Band Selection ◽

Support Vector ◽

Selection Approach

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Band selection and classification of hyperspectral images by minimizing normalized mutual information

Second International Conference on the Innovative Computing Technology (INTECH 2012) ◽

10.1109/intech.2012.6457777 ◽

2012 ◽

Author(s):

Elkebir Sarhrouni ◽

Ahmed Hammouch ◽

Driss Aboutajdine

Keyword(s):

Mutual Information ◽

Hyperspectral Images ◽

Band Selection ◽

Normalized Mutual Information

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Band selection and classification of hyperspectral images using Mutual Information: An algorithm based on minimizing the error probability using the inequality of Fano

2012 International Conference on Multimedia Computing and Systems ◽

10.1109/icmcs.2012.6320192 ◽

2012 ◽

Author(s):

Elkebir Sarhrouni ◽

Ahmed Hammouch ◽

Driss Aboutajdine

Keyword(s):

Mutual Information ◽

Error Probability ◽

Hyperspectral Images ◽

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A heuristic-based band selection approach to improve classification accuracy in hyperspectral images

2015 23nd Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2015.7130196 ◽

2015 ◽

Author(s):

Huseyin Cukur ◽

Hamidullah Binol ◽

Abdullah Bal

Keyword(s):

Classification Accuracy ◽

Hyperspectral Images ◽

Band Selection ◽

Selection Approach

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An advanced hyperspectral band selection approach based on mutual information

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7729698 ◽

2016 ◽

Author(s):

Wenqiang Zhang ◽

Xiaorun Li ◽

Liaoying Zhao

Keyword(s):

Mutual Information ◽

Band Selection ◽

Selection Approach

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A simulated annealing band selection approach for hyperspectral images

SPIE Newsroom ◽

10.1117/2.1200701.0564 ◽

2007 ◽

Author(s):

Yang-Lang Chang

Keyword(s):

Simulated Annealing ◽

Hyperspectral Images ◽

Band Selection ◽

Selection Approach

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Band selection for hyperspectral images using copulas-based mutual information

2009 IEEE/SP 15th Workshop on Statistical Signal Processing ◽

10.1109/ssp.2009.5278570 ◽

2009 ◽

Author(s):

Xuexing Zeng ◽

T S Durrani

Keyword(s):

Mutual Information ◽

Hyperspectral Images ◽

Band Selection ◽

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A Superpixel and Mutual Information Based Band Selection Method for Hyperspectral Images

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/96942020 ◽

2020 ◽

Vol 9 (4) ◽

pp. 4855-4862

Author(s):

Sonia Sarmah

Keyword(s):

Mutual Information ◽

Selection Method ◽

Hyperspectral Images ◽

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Anomaly Detection Algorithm Using Entropy-Based Band Selection and Morphological Operations for Hyperspectral Images

2020 27th International Conference on Telecommunications (ICT) ◽

10.1109/ict49546.2020.9239492 ◽

2020 ◽

Author(s):

Ferdi Andika ◽

Mia Rizkinia

Keyword(s):

Anomaly Detection ◽

Detection Algorithm ◽

Hyperspectral Images ◽

Band Selection ◽

Morphological Operations

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A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2020.100806 ◽

2021 ◽

Vol 60 ◽

pp. 100806

Author(s):

Zhang Yong ◽

He Chun-lin ◽

Song Xian-fang ◽

Sun Xiao-yan

Keyword(s):

Artificial Bee Colony ◽

Hyperspectral Images ◽

Band Selection ◽

Multi Objective ◽

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