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1	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
2	Material Type: Article	Medical hyperspectral imaging: a review Journal of biomedical optics, 2014-01, Vol.19 (1), p.010901-010901 [Peer Reviewed Journal] The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. ;The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. The Authors ;ISSN: 1083-3668 ;EISSN: 1560-2281 ;DOI: 10.1117/1.JBO.19.1.010901 ;PMID: 24441941 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.430 [Peer Reviewed Journal] 2018. 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. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18020430 ;PMID: 29389893 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	A Review of Hyperspectral Image Classification Based on Joint Spatial-spectral Features Journal of physics. Conference series, 2022-02, Vol.2203 (1), p.12040 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2203/1/012040 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties Molecules (Basel, Switzerland), 2019-09, Vol.24 (18), p.3268 [Peer Reviewed Journal] 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules24183268 ;PMID: 31500333 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing IEEE transactions on image processing, 2019-04, Vol.28 (4), p.1923-1938 [Peer Reviewed Journal] ISSN: 1057-7149 ;EISSN: 1941-0042 ;DOI: 10.1109/TIP.2018.2878958 ;CODEN: IIPRE4 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5120 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20185120 ;PMID: 32911790 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network Sensors (Basel, Switzerland), 2019-09, Vol.19 (19), p.4065 [Peer Reviewed Journal] 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19194065 ;PMID: 31547118 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis Molecules (Basel, Switzerland), 2018-06, Vol.23 (6), p.1352 [Peer Reviewed Journal] 2018. 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. ;2018 by the authors. 2018 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules23061352 ;PMID: 29867071 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Advances in Spectral-Spatial Classification of Hyperspectral Images Proceedings of the IEEE, 2013-03, Vol.101 (3), p.652-675 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2012.2197589 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4349-4359 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2018.2890705 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach Pure and applied chemistry, 2018-03, Vol.90 (3), p.493-506 [Peer Reviewed Journal] This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0033-4545 ;EISSN: 1365-3075 ;DOI: 10.1515/pac-2017-0907 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11 [Peer Reviewed Journal] ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2022.3141217 ;CODEN: IGRSD2 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	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
15	Material Type: Article	Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis Molecules (Basel, Switzerland), 2018-09, Vol.23 (9), p.2395 [Peer Reviewed Journal] 2018. This work is licensed under http://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. ;2018. 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. ;2018 by the authors. 2018 ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules23092395 ;PMID: 30235811 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	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
17	Material Type: Article	Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network Remote sensing (Basel, Switzerland), 2017-11, Vol.9 (11), p.1139 [Peer Reviewed Journal] Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9111139 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	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
19	Material Type: Article	Blind hyperspectral unmixing using an Extended Linear Mixing Model to address spectral variability IEEE transactions on image processing, 2016-08, Vol.25 (8), p.3890-3905 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1057-7149 ;EISSN: 1941-0042 ;DOI: 10.1109/TIP.2016.2579259 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (13), p.1554 [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/rs11131554 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 1,205 for All Library Resources

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

ISSN: 1057-7149 ;EISSN: 1941-0042 ;DOI: 10.1109/TIP.2018.2878958 ;CODEN: IIPRE4

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2012.2197589

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2018.2890705 ;CODEN: IGRSD2

This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0033-4545 ;EISSN: 1365-3075 ;DOI: 10.1515/pac-2017-0907

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2022.3141217 ;CODEN: IGRSD2

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

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

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9111139

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

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1057-7149 ;EISSN: 1941-0042 ;DOI: 10.1109/TIP.2016.2579259

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/rs11131554

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