Editorial for Special Issue “Hyperspectral Imaging and Applications”

Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to pu...
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Autor*in:	Chein-I Chang [verfasserIn] Meiping Song [verfasserIn] Junping Zhang [verfasserIn] Chao-Cheng Wu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 11(2019), 17, p 2012
Übergeordnetes Werk:	volume:11 ; year:2019 ; number:17, p 2012

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs11172012

Katalog-ID:	DOAJ019287461

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spelling	10.3390/rs11172012 doi (DE-627)DOAJ019287461 (DE-599)DOAJ19bcd6fd528f48f89a09ead4a79add46 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Hyperspectral Imaging and Applications” 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications. band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection Science Q Meiping Song verfasserin aut Junping Zhang verfasserin aut Chao-Cheng Wu verfasserin aut In Remote Sensing MDPI AG, 2009 11(2019), 17, p 2012 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:11 year:2019 number:17, p 2012 https://doi.org/10.3390/rs11172012 kostenfrei https://doaj.org/article/19bcd6fd528f48f89a09ead4a79add46 kostenfrei https://www.mdpi.com/2072-4292/11/17/2012 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 11 2019 17, p 2012
allfields_unstemmed	10.3390/rs11172012 doi (DE-627)DOAJ019287461 (DE-599)DOAJ19bcd6fd528f48f89a09ead4a79add46 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Hyperspectral Imaging and Applications” 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications. band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection Science Q Meiping Song verfasserin aut Junping Zhang verfasserin aut Chao-Cheng Wu verfasserin aut In Remote Sensing MDPI AG, 2009 11(2019), 17, p 2012 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:11 year:2019 number:17, p 2012 https://doi.org/10.3390/rs11172012 kostenfrei https://doaj.org/article/19bcd6fd528f48f89a09ead4a79add46 kostenfrei https://www.mdpi.com/2072-4292/11/17/2012 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 11 2019 17, p 2012
allfieldsGer	10.3390/rs11172012 doi (DE-627)DOAJ019287461 (DE-599)DOAJ19bcd6fd528f48f89a09ead4a79add46 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Hyperspectral Imaging and Applications” 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications. band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection Science Q Meiping Song verfasserin aut Junping Zhang verfasserin aut Chao-Cheng Wu verfasserin aut In Remote Sensing MDPI AG, 2009 11(2019), 17, p 2012 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:11 year:2019 number:17, p 2012 https://doi.org/10.3390/rs11172012 kostenfrei https://doaj.org/article/19bcd6fd528f48f89a09ead4a79add46 kostenfrei https://www.mdpi.com/2072-4292/11/17/2012 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 11 2019 17, p 2012
allfieldsSound	10.3390/rs11172012 doi (DE-627)DOAJ019287461 (DE-599)DOAJ19bcd6fd528f48f89a09ead4a79add46 DE-627 ger DE-627 rakwb eng Chein-I Chang verfasserin aut Editorial for Special Issue “Hyperspectral Imaging and Applications” 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications. band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection Science Q Meiping Song verfasserin aut Junping Zhang verfasserin aut Chao-Cheng Wu verfasserin aut In Remote Sensing MDPI AG, 2009 11(2019), 17, p 2012 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:11 year:2019 number:17, p 2012 https://doi.org/10.3390/rs11172012 kostenfrei https://doaj.org/article/19bcd6fd528f48f89a09ead4a79add46 kostenfrei https://www.mdpi.com/2072-4292/11/17/2012 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 11 2019 17, p 2012
language	English
source	In Remote Sensing 11(2019), 17, p 2012 volume:11 year:2019 number:17, p 2012
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topic_facet	band selection data fusion data unmixing hyperspectral image classification hyperspectral imaging spectral variability target detection Science Q
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author	Chein-I Chang
spellingShingle	Chein-I Chang misc band selection misc data fusion misc data unmixing misc hyperspectral image classification misc hyperspectral imaging misc spectral variability misc target detection misc Science misc Q Editorial for Special Issue “Hyperspectral Imaging and Applications”
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topic	misc band selection misc data fusion misc data unmixing misc hyperspectral image classification misc hyperspectral imaging misc spectral variability misc target detection misc Science misc Q
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title_sort	editorial for special issue “hyperspectral imaging and applications”
title_auth	Editorial for Special Issue “Hyperspectral Imaging and Applications”
abstract	Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications.
abstractGer	Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications.
abstract_unstemmed	Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification, Band Selection, Data Fusion, Applications.
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title_short	Editorial for Special Issue “Hyperspectral Imaging and Applications”
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