Band selection with the bhattacharyya distance based on the Gaussian mixture model for hyperspectral image classification

2017 International Conference on Electrical and Information Technologies (ICEIT) ◽

10.1109/eitech.2017.8255282 ◽

2017 ◽

Cited By ~ 1

Author(s):

Mohammed Lahlimi ◽

Mounir Ait Kerroum ◽

Youssef Fakhri

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Bhattacharyya Distance

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Band Selection with Bhattacharyya Distance Based on the Gaussian Mixture Model for Hyperspectral Image Classification

Recent Advances in Electrical and Information Technologies for Sustainable Development - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-05276-8_10 ◽

2019 ◽

pp. 87-94

Author(s):

Mohammed Lahlimi ◽

Mounir Ait Kerroum ◽

Youssef Fakhri

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Bhattacharyya Distance

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Band Selection by Divergence Distance Based on Gaussian Mixture Model for Hyperspectral Image Classification

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/72852019 ◽

2019 ◽

Vol 8 (5) ◽

pp. 2330-2338

Author(s):

Mohammed LAHLIMI ◽

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Band Selection ◽

Hyperspectral Image Classification

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Gaussian mixture model and Markov random fields for hyperspectral image classification

European Journal of Remote Sensing ◽

10.1080/22797254.2018.1503565 ◽

2018 ◽

Vol 51 (1) ◽

pp. 889-900 ◽

Cited By ~ 2

Author(s):

Hamid Ghanbari ◽

Saeid Homayouni ◽

Abdolreza Safari ◽

Pedram Ghamisi

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Hyperspectral Image Classification ◽

Markov Random

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A Joint Landscape Metric and Error Image Approach to Unsupervised Band Selection for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3072948 ◽

2021 ◽

pp. 1-5

Author(s):

Peichao Gao ◽

Hong Zhang ◽

Zhiwei Wu ◽

Jicheng Wang

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Landscape Metric ◽

Selection For

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Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3067096 ◽

2021 ◽

pp. 1-14

Author(s):

Lichao Mou ◽

Sudipan Saha ◽

Yuansheng Hua ◽

Francesca Bovolo ◽

Lorenzo Bruzzone ◽

...

Keyword(s):

Reinforcement Learning ◽

Image Classification ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification

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Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3037746 ◽

2020 ◽

pp. 1-14

Author(s):

Fang He ◽

Feiping Nie ◽

Rong Wang ◽

Weimin Jia ◽

Fenggan Zhang ◽

...

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Graph Optimization

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Hyperspectral Image Classification Based on Class Confusion Merging and Soft Band Selection

10.1109/igarss47720.2021.9553136 ◽

2021 ◽

Author(s):

Xinyuan Miao ◽

Ye Zhang ◽

Junping Zhang ◽

Xuejian Liang

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification

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Unsupervised band selection based on artificial bee colony algorithm for hyperspectral image classification

Applied Soft Computing ◽

10.1016/j.asoc.2018.11.014 ◽

2019 ◽

Vol 75 ◽

pp. 428-440 ◽

Cited By ~ 28

Author(s):

Fuding Xie ◽

Fangfei Li ◽

Cunkuan Lei ◽

Jun Yang ◽

Yong Zhang

Keyword(s):

Image Classification ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Bee Colony

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Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification

Pattern Recognition Letters ◽

10.1016/j.patrec.2009.11.010 ◽

2010 ◽

Vol 31 (10) ◽

pp. 1168-1174 ◽

Cited By ~ 34

Author(s):

Mounir Ait Kerroum ◽

Ahmed Hammouch ◽

Driss Aboutajdine

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Multispectral Image ◽

Textural Feature

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Hyperspectral image classification by second generation wavelet based on adaptive band selection

IEEE International Conference Mechatronics and Automation, 2005 ◽

10.1109/icma.2005.1626719 ◽

2006 ◽

Author(s):

Chunhong Liu ◽

Chunhui Zhao ◽

Wanhai Chen

Keyword(s):

Image Classification ◽

Second Generation ◽

Hyperspectral Image ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Second Generation Wavelet

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