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1
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
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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

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2
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging
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Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2260 [Peer Reviewed Journal]

2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20082260 ;PMID: 32316216

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3
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
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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

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4
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment
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Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1437 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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 (https://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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23031437 ;PMID: 36772477

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5
Deep Learning in Medical Hyperspectral Images: A Review
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Deep Learning in Medical Hyperspectral Images: A Review

Sensors (Basel, Switzerland), 2022-12, Vol.22 (24), p.9790 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 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 (https://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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22249790 ;PMID: 36560157

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6
Air Pollution Detection Using a Novel Snap-Shot Hyperspectral Imaging Technique
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Air Pollution Detection Using a Novel Snap-Shot Hyperspectral Imaging Technique

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.6231 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 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 (https://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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22166231 ;PMID: 36015992

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7
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
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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

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8
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification
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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

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9
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis
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Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis

Sensors (Basel, Switzerland), 2017-08, Vol.17 (8), p.1894 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17081894 ;PMID: 28817075

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10
Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System
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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

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11
Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network
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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

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12
Hyperspectral and multispectral image fusion based on a sparse representation
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Hyperspectral and multispectral image fusion based on a sparse representation

IEEE transactions on geoscience and remote sensing, 2015-07, Vol.53 (n° 7) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2014.2381272

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13
High-Throughput Phenotyping Approach for the Evaluation of Heat Stress in Korean Ginseng (Panax ginseng Meyer) Using a Hyperspectral Reflectance Image
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High-Throughput Phenotyping Approach for the Evaluation of Heat Stress in Korean Ginseng (Panax ginseng Meyer) Using a Hyperspectral Reflectance Image

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5634 [Peer Reviewed Journal]

2021 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 (https://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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21165634 ;PMID: 34451076

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14
Relaxation linear regression with spectral–spatial constrained locality adaptive regularization for hyperspectral image classification
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Relaxation linear regression with spectral–spatial constrained locality adaptive regularization for hyperspectral image classification

Electronics letters, 2024-02, Vol.60 (3), p.n/a [Peer Reviewed Journal]

2024 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 0013-5194 ;EISSN: 1350-911X ;DOI: 10.1049/ell2.13108

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15
Deep Recurrent Neural Networks for Hyperspectral Image Classification
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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

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16
Plant Disease Detection and Classification by Deep Learning-A Review
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Plant Disease Detection and Classification by Deep Learning-A Review

IEEE access, 2021, Vol.9, p.56683-56698 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3069646 ;CODEN: IAECCG

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17
Advances in Spectral-Spatial Classification of Hyperspectral Images
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Article
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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

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18
STLAR: A localization and authenticity recognition method for specific targets based on land‐based hyperspectral images
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STLAR: A localization and authenticity recognition method for specific targets based on land‐based hyperspectral images

Electronics letters, 2023-12, Vol.59 (24), p.n/a [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 0013-5194 ;EISSN: 1350-911X ;DOI: 10.1049/ell2.13063

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19
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
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Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-06, Vol.58 (6), p.3791-3808 [Peer Reviewed Journal]

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2019.2957251 ;CODEN: IGRSD2

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20
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion
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Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion

IEEE transactions on geoscience and remote sensing, 2020-01, Vol.58 (1), p.348-362 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2019.2936486

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