MULTISENSOR REMOTE SENSING DATA INTEGRATION

The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor...
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Autor*in:	Nedim Kulo [verfasserIn]

Format:	E-Artikel
Sprache:	Bosnisch ; Englisch ; Kroatisch ; srp

Erschienen:	2019

Schlagwörter:	remote sensing data integration multisensory data integration optical data radar data

Übergeordnetes Werk:	In: Geodetski Glasnik - Union of Associations of Geodetic Professionals in Bosnia and Herzegovina, 2015, (2019), 50, Seite 71-94
Übergeordnetes Werk:	year:2019 ; number:50 ; pages:71-94

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ091321298

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spelling	(DE-627)DOAJ091321298 (DE-599)DOAJ77b597b793d64c118a0a8882f5f5163c DE-627 ger DE-627 rakwb bos eng hrv srp QB275-343 Nedim Kulo verfasserin aut MULTISENSOR REMOTE SENSING DATA INTEGRATION 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface. remote sensing data integration multisensory data integration optical data radar data Geodesy In Geodetski Glasnik Union of Associations of Geodetic Professionals in Bosnia and Herzegovina, 2015 (2019), 50, Seite 71-94 (DE-627)818037520 (DE-600)2809162-0 22331786 nnns year:2019 number:50 pages:71-94 https://doi.org/10.58817/2233-1786.2019.53.50.71 kostenfrei https://doaj.org/article/77b597b793d64c118a0a8882f5f5163c kostenfrei https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf kostenfrei https://doaj.org/toc/1512-6102 Journal toc kostenfrei https://doaj.org/toc/2233-1786 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 2019 50 71-94
allfields_unstemmed	(DE-627)DOAJ091321298 (DE-599)DOAJ77b597b793d64c118a0a8882f5f5163c DE-627 ger DE-627 rakwb bos eng hrv srp QB275-343 Nedim Kulo verfasserin aut MULTISENSOR REMOTE SENSING DATA INTEGRATION 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface. remote sensing data integration multisensory data integration optical data radar data Geodesy In Geodetski Glasnik Union of Associations of Geodetic Professionals in Bosnia and Herzegovina, 2015 (2019), 50, Seite 71-94 (DE-627)818037520 (DE-600)2809162-0 22331786 nnns year:2019 number:50 pages:71-94 https://doi.org/10.58817/2233-1786.2019.53.50.71 kostenfrei https://doaj.org/article/77b597b793d64c118a0a8882f5f5163c kostenfrei https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf kostenfrei https://doaj.org/toc/1512-6102 Journal toc kostenfrei https://doaj.org/toc/2233-1786 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 2019 50 71-94
allfieldsGer	(DE-627)DOAJ091321298 (DE-599)DOAJ77b597b793d64c118a0a8882f5f5163c DE-627 ger DE-627 rakwb bos eng hrv srp QB275-343 Nedim Kulo verfasserin aut MULTISENSOR REMOTE SENSING DATA INTEGRATION 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface. remote sensing data integration multisensory data integration optical data radar data Geodesy In Geodetski Glasnik Union of Associations of Geodetic Professionals in Bosnia and Herzegovina, 2015 (2019), 50, Seite 71-94 (DE-627)818037520 (DE-600)2809162-0 22331786 nnns year:2019 number:50 pages:71-94 https://doi.org/10.58817/2233-1786.2019.53.50.71 kostenfrei https://doaj.org/article/77b597b793d64c118a0a8882f5f5163c kostenfrei https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf kostenfrei https://doaj.org/toc/1512-6102 Journal toc kostenfrei https://doaj.org/toc/2233-1786 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 2019 50 71-94
allfieldsSound	(DE-627)DOAJ091321298 (DE-599)DOAJ77b597b793d64c118a0a8882f5f5163c DE-627 ger DE-627 rakwb bos eng hrv srp QB275-343 Nedim Kulo verfasserin aut MULTISENSOR REMOTE SENSING DATA INTEGRATION 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface. remote sensing data integration multisensory data integration optical data radar data Geodesy In Geodetski Glasnik Union of Associations of Geodetic Professionals in Bosnia and Herzegovina, 2015 (2019), 50, Seite 71-94 (DE-627)818037520 (DE-600)2809162-0 22331786 nnns year:2019 number:50 pages:71-94 https://doi.org/10.58817/2233-1786.2019.53.50.71 kostenfrei https://doaj.org/article/77b597b793d64c118a0a8882f5f5163c kostenfrei https://glasnik.suggsbih.ba/glasnik/50/documents/GG50_Kulo.pdf kostenfrei https://doaj.org/toc/1512-6102 Journal toc kostenfrei https://doaj.org/toc/2233-1786 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 2019 50 71-94
language	Bosnian English
source	In Geodetski Glasnik (2019), 50, Seite 71-94 year:2019 number:50 pages:71-94
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author	Nedim Kulo
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topic	misc QB275-343 misc remote sensing misc data integration misc multisensory data integration misc optical data misc radar data misc Geodesy
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abstract	The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.
abstractGer	The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.
abstract_unstemmed	The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.
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