Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”

Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to findi...
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Autor*in:	Chein-I Chang [verfasserIn] Meiping Song [verfasserIn] Chunyan Yu [verfasserIn] Yulei Wang [verfasserIn] Haoyang Yu [verfasserIn] Jiaojiao Li [verfasserIn] Lin Wang [verfasserIn] Hsiao-Chi Li [verfasserIn] Xiaorun Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 14(2022), 20, p 5111
Übergeordnetes Werk:	volume:14 ; year:2022 ; number:20, p 5111

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs14205111

Katalog-ID:	DOAJ027432181

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allfields	10.3390/rs14205111 doi (DE-627)DOAJ027432181 (DE-599)DOAJ861a1c8ee01f4fd48dde5669045da252 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Advances in Hyperspectral Data Exploitation” 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications. hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing Science Q Meiping Song verfasserin aut Chunyan Yu verfasserin aut Yulei Wang verfasserin aut Haoyang Yu verfasserin aut Jiaojiao Li verfasserin aut Lin Wang verfasserin aut Hsiao-Chi Li verfasserin aut Xiaorun Li verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 20, p 5111 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:20, p 5111 https://doi.org/10.3390/rs14205111 kostenfrei https://doaj.org/article/861a1c8ee01f4fd48dde5669045da252 kostenfrei https://www.mdpi.com/2072-4292/14/20/5111 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 20, p 5111
spelling	10.3390/rs14205111 doi (DE-627)DOAJ027432181 (DE-599)DOAJ861a1c8ee01f4fd48dde5669045da252 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Advances in Hyperspectral Data Exploitation” 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications. hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing Science Q Meiping Song verfasserin aut Chunyan Yu verfasserin aut Yulei Wang verfasserin aut Haoyang Yu verfasserin aut Jiaojiao Li verfasserin aut Lin Wang verfasserin aut Hsiao-Chi Li verfasserin aut Xiaorun Li verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 20, p 5111 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:20, p 5111 https://doi.org/10.3390/rs14205111 kostenfrei https://doaj.org/article/861a1c8ee01f4fd48dde5669045da252 kostenfrei https://www.mdpi.com/2072-4292/14/20/5111 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 20, p 5111
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allfieldsGer	10.3390/rs14205111 doi (DE-627)DOAJ027432181 (DE-599)DOAJ861a1c8ee01f4fd48dde5669045da252 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Advances in Hyperspectral Data Exploitation” 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications. hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing Science Q Meiping Song verfasserin aut Chunyan Yu verfasserin aut Yulei Wang verfasserin aut Haoyang Yu verfasserin aut Jiaojiao Li verfasserin aut Lin Wang verfasserin aut Hsiao-Chi Li verfasserin aut Xiaorun Li verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 20, p 5111 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:20, p 5111 https://doi.org/10.3390/rs14205111 kostenfrei https://doaj.org/article/861a1c8ee01f4fd48dde5669045da252 kostenfrei https://www.mdpi.com/2072-4292/14/20/5111 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 20, p 5111
allfieldsSound	10.3390/rs14205111 doi (DE-627)DOAJ027432181 (DE-599)DOAJ861a1c8ee01f4fd48dde5669045da252 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Advances in Hyperspectral Data Exploitation” 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications. hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing Science Q Meiping Song verfasserin aut Chunyan Yu verfasserin aut Yulei Wang verfasserin aut Haoyang Yu verfasserin aut Jiaojiao Li verfasserin aut Lin Wang verfasserin aut Hsiao-Chi Li verfasserin aut Xiaorun Li verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 20, p 5111 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:20, p 5111 https://doi.org/10.3390/rs14205111 kostenfrei https://doaj.org/article/861a1c8ee01f4fd48dde5669045da252 kostenfrei https://www.mdpi.com/2072-4292/14/20/5111 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 20, p 5111
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authorswithroles_txt_mv	Chein-I Chang @@aut@@ Meiping Song @@aut@@ Chunyan Yu @@aut@@ Yulei Wang @@aut@@ Haoyang Yu @@aut@@ Jiaojiao Li @@aut@@ Lin Wang @@aut@@ Hsiao-Chi Li @@aut@@ Xiaorun Li @@aut@@
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author	Chein-I Chang
spellingShingle	Chein-I Chang misc hyperspectral image classification misc hyperspectral imaging (HSI) misc hyperspectral target detection misc hyperspectral reconstruction misc hyperspectral unmixing misc Science misc Q Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”
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topic_title	Editorial for Special Issue “Advances in Hyperspectral Data Exploitation” hyperspectral image classification hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing
topic	misc hyperspectral image classification misc hyperspectral imaging (HSI) misc hyperspectral target detection misc hyperspectral reconstruction misc hyperspectral unmixing misc Science misc Q
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title_sort	editorial for special issue “advances in hyperspectral data exploitation”
title_auth	Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”
abstract	Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications.
abstractGer	Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications.
abstract_unstemmed	Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and researchers to publish and share their research ideas and findings to facilitate the utility of hyperspectral imaging in data exploitation and other applications. With this in mind, this Special Issue accepted and published 19 papers in various areas, which can be organized into 9 categories, including I: Hyperspectral Image Classification, II: Hyperspectral Target Detection, III: Hyperspectral and Multispectral Fusion, IV: Mid-wave Infrared Hyperspectral Imaging, V: Hyperspectral Unmixing, VI: Hyperspectral Sensor Hardware Design, VII: Hyperspectral Reconstruction, VIII: Hyperspectral Visualization, and IX: Applications.
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Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”

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