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Peer-reviewed Journals (433)

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1	Material Type: Article	Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1070 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071070 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Deep neural networks-based relevant latent representation learning for hyperspectral image classification Pattern recognition, 2022-01, Vol.121 [Peer Reviewed Journal] Attribution - NonCommercial ;ISSN: 0031-3203 ;DOI: 10.1016/j.patcog.2021.108224 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.582 [Peer Reviewed Journal] ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030582 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Spectral Spatial Neighborhood Attention Transformer for Hyperspectral Image Classification: Transformateur d’attention de voisinage spatial-spectral pour la classification d’images hyperspectrales Canadian journal of remote sensing, 2024-12, Vol.50 (1) [Peer Reviewed Journal] EISSN: 1712-7971 ;DOI: 10.1080/07038992.2024.2347631 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification Defence technology, 2023-05, Vol.23, p.164-176 [Peer Reviewed Journal] 2022 China Ordnance Society ;ISSN: 2214-9147 ;EISSN: 2214-9147 ;DOI: 10.1016/j.dt.2022.02.007 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2020-12, Vol.58 (12), p.8246-8257 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2020.2973363 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Ensemble synthetic oversampling with pixel pair for class-imbalanced and small-sized hyperspectral data classification International journal of applied earth observation and geoinformation, 2024-04, Vol.128, p.103697, Article 103697 [Peer Reviewed Journal] 2024 The Authors ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2024.103697 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1068 [Peer Reviewed Journal] ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10071068 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network Remote sensing (Basel, Switzerland), 2017-01, Vol.9 (1), p.67-67 [Peer Reviewed Journal] Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9010067 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	A Positive Feedback Spatial Spectral Correlation Network Based on Spectral Slice for Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2023-01, p.1-1 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2023.3242776 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2020-01, Vol.58 (1), p.110-122 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2019.2933609 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Deep Recurrent Neural Networks for Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3639-3655 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2016.2636241 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.968-999 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3133021 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification International journal of applied earth observation and geoinformation, 2022-09, Vol.113, p.103022, Article 103022 [Peer Reviewed Journal] 2022 The Authors ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103022 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2018-01, Vol.56 (1), p.391-406 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2017.2748160 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Band selection based on optimization approach for hyperspectral image classification The Egyptian journal of remote sensing and space sciences, 2018-12, Vol.21 (3), p.413-418 [Peer Reviewed Journal] 2018 ;ISSN: 1110-9823 ;EISSN: 2090-2476 ;DOI: 10.1016/j.ejrs.2018.01.003 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Hyper-ES2T: Efficient Spatial–Spectral Transformer for the classification of hyperspectral remote sensing images International journal of applied earth observation and geoinformation, 2022-09, Vol.113, p.103005, Article 103005 [Peer Reviewed Journal] 2022 The Author(s) ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103005 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1307 [Peer Reviewed Journal] 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111307 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial-Spectral Fusion IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.2485-2501 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2020.2983224 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2021.3067096 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 472 for All Library Resources

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071070

Attribution - NonCommercial ;ISSN: 0031-3203 ;DOI: 10.1016/j.patcog.2021.108224

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030582

EISSN: 1712-7971 ;DOI: 10.1080/07038992.2024.2347631

2022 China Ordnance Society ;ISSN: 2214-9147 ;EISSN: 2214-9147 ;DOI: 10.1016/j.dt.2022.02.007

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2020.2973363 ;CODEN: IGRSD2

2024 The Authors ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2024.103697

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10071068

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9010067

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2023.3242776 ;CODEN: IGRSD2

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2019.2933609 ;CODEN: IGRSD2

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2016.2636241 ;CODEN: IGRSD2

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3133021 ;CODEN: IJSTHZ

2022 The Authors ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103022

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2017.2748160 ;CODEN: IGRSD2

2018 ;ISSN: 1110-9823 ;EISSN: 2090-2476 ;DOI: 10.1016/j.ejrs.2018.01.003

2022 The Author(s) ;ISSN: 1569-8432 ;EISSN: 1872-826X ;DOI: 10.1016/j.jag.2022.103005

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111307

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2020.2983224 ;CODEN: IJSTHZ

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2021.3067096 ;CODEN: IGRSD2

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