An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we prop...
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Autor*in:	Chuli Hu [verfasserIn] Jia Li [verfasserIn] Nengcheng Chen [verfasserIn] Qingfeng Guan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	remote sensing satellite sensor object-oriented paradigm sensor metadata sensor sharing and integration sensor web SensorML

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 6(2014), 1, Seite 677-699
Übergeordnetes Werk:	volume:6 ; year:2014 ; number:1 ; pages:677-699

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs6010677

Katalog-ID:	DOAJ018111335

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spelling	10.3390/rs6010677 doi (DE-627)DOAJ018111335 (DE-599)DOAJ11373f202fb8413abf1054c7ca3fd1c3 DE-627 ger DE-627 rakwb eng Chuli Hu verfasserin aut An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations. remote sensing satellite sensor object-oriented paradigm sensor metadata sensor sharing and integration sensor web SensorML Science Q Jia Li verfasserin aut Nengcheng Chen verfasserin aut Qingfeng Guan verfasserin aut In Remote Sensing MDPI AG, 2009 6(2014), 1, Seite 677-699 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:6 year:2014 number:1 pages:677-699 https://doi.org/10.3390/rs6010677 kostenfrei https://doaj.org/article/11373f202fb8413abf1054c7ca3fd1c3 kostenfrei http://www.mdpi.com/2072-4292/6/1/677 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 6 2014 1 677-699
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allfieldsGer	10.3390/rs6010677 doi (DE-627)DOAJ018111335 (DE-599)DOAJ11373f202fb8413abf1054c7ca3fd1c3 DE-627 ger DE-627 rakwb eng Chuli Hu verfasserin aut An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations. remote sensing satellite sensor object-oriented paradigm sensor metadata sensor sharing and integration sensor web SensorML Science Q Jia Li verfasserin aut Nengcheng Chen verfasserin aut Qingfeng Guan verfasserin aut In Remote Sensing MDPI AG, 2009 6(2014), 1, Seite 677-699 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:6 year:2014 number:1 pages:677-699 https://doi.org/10.3390/rs6010677 kostenfrei https://doaj.org/article/11373f202fb8413abf1054c7ca3fd1c3 kostenfrei http://www.mdpi.com/2072-4292/6/1/677 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 6 2014 1 677-699
allfieldsSound	10.3390/rs6010677 doi (DE-627)DOAJ018111335 (DE-599)DOAJ11373f202fb8413abf1054c7ca3fd1c3 DE-627 ger DE-627 rakwb eng Chuli Hu verfasserin aut An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations. remote sensing satellite sensor object-oriented paradigm sensor metadata sensor sharing and integration sensor web SensorML Science Q Jia Li verfasserin aut Nengcheng Chen verfasserin aut Qingfeng Guan verfasserin aut In Remote Sensing MDPI AG, 2009 6(2014), 1, Seite 677-699 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:6 year:2014 number:1 pages:677-699 https://doi.org/10.3390/rs6010677 kostenfrei https://doaj.org/article/11373f202fb8413abf1054c7ca3fd1c3 kostenfrei http://www.mdpi.com/2072-4292/6/1/677 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 6 2014 1 677-699
language	English
source	In Remote Sensing 6(2014), 1, Seite 677-699 volume:6 year:2014 number:1 pages:677-699
sourceStr	In Remote Sensing 6(2014), 1, Seite 677-699 volume:6 year:2014 number:1 pages:677-699
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	remote sensing satellite sensor object-oriented paradigm sensor metadata sensor sharing and integration sensor web SensorML Science Q
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container_title	Remote Sensing
authorswithroles_txt_mv	Chuli Hu @@aut@@ Jia Li @@aut@@ Nengcheng Chen @@aut@@ Qingfeng Guan @@aut@@
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author	Chuli Hu
spellingShingle	Chuli Hu misc remote sensing satellite sensor misc object-oriented paradigm misc sensor metadata misc sensor sharing and integration misc sensor web misc SensorML misc Science misc Q An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation
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topic	misc remote sensing satellite sensor misc object-oriented paradigm misc sensor metadata misc sensor sharing and integration misc sensor web misc SensorML misc Science misc Q
topic_unstemmed	misc remote sensing satellite sensor misc object-oriented paradigm misc sensor metadata misc sensor sharing and integration misc sensor web misc SensorML misc Science misc Q
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title	An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation
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title_sort	object model for integrating diverse remote sensing satellite sensors: a case study of union operation
title_auth	An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation
abstract	In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.
abstractGer	In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.
abstract_unstemmed	In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.
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title_short	An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation
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