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Toward a standardized encoding of remote sensing geo-positioning sensor models / Meng Jin in Remote sensing, vol 12 n° 9 (May 2020)  

Public [article]  inRemote sensing > vol 12 n° 9 (May 2020) . - n° 1530 Titre : Toward a standardized encoding of remote sensing geo-positioning sensor models Type de document : Article/Communication Auteurs : Meng Jin, Auteur ; Yuqi Bai, Auteur ; Emmanuel Devys , Auteur ; Liping Di, Auteur Année de publication : 2020 Projets : 3-projet - voir note / Article en page(s) : n° 1530 Note générale : bibliographie M.J. and Y.B. were funded by the National Key Research and Development Program of China (No. 2016YFF0202705, PI: Jiankun Guo). L.D. was funded by USGS/FGDC (No. G15AC00508, PI: Liping Di). Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données localisées [Termes IGN] interopérabilité [Termes IGN] Sensor Web Enablement [Termes IGN] SensorML [Termes IGN] standard OGC Résumé : (auteur) Geolocation information is an important feature of remote sensing image data that is captured through a variety of passive or active observation sensors, such as push-broom electro-optical sensor, synthetic aperture radar (SAR), light detection and ranging (LIDAR) and sound navigation and ranging (SONAR). As a fundamental processing step to locate an image, geo-positioning is used to determine the ground coordinates of an object from image coordinates. A variety of sensor models have been created to describe geo-positioning process. In particular, Open Geospatial Consortium (OGC) has defined the Sensor Model Language (SensorML) specification in its Sensor Web Enablement (SWE) initiative to describe sensors including the geo-positioning process. It has been realized using syntax from the extensible markup language (XML). Besides, two standards defined by the International Organization for Standardization (ISO), ISO 19130-1 and ISO 19130-2, introduced a physical sensor model, a true replacement model, and a correspondence model for the geo-positioning process. However, a standardized encoding for geo-positioning sensor models is still missing for the remote sensing community. Thus, the interoperability of remote sensing data between application systems cannot be ensured. In this paper, a standardized encoding of remote sensing geo-positioning sensor models is introduced. It is semantically based on ISO 19130-1 and ISO 19130-2, and syntactically based on OGC SensorML. It defines a cross mapping of the sensor models defined in ISO 19130-1 and ISO 19130-2 to the SensorML, and then proposes a detailed encoding method to finalize the XML schema (an XML schema here is the structure to define an XML document), which will become a profile of OGC SensorML. It seamlessly unifies the sensor models defined in ISO 19130-1, ISO 19130-2, and OGC SensorML. By enabling a standardized description of sensor models used to produce remote sensing data, this standard is very promising in promoting data interoperability, mobility, and integration in the remote sensing domain. Numéro de notice : A2020-333 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs12091530 Date de publication en ligne : 11/05/2020 En ligne : https://doi.org/10.3390/rs12091530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96867 [article]

Developing a web-based system for supervised classification of remote sensing images / Ziheng Sun in Geoinformatica, vol 20 n° 4 (October - December 2016)  

Public [article]  inGeoinformatica > vol 20 n° 4 (October - December 2016) . - pp 629 - 649 Titre : Developing a web-based system for supervised classification of remote sensing images Type de document : Article/Communication Auteurs : Ziheng Sun, Auteur ; H. Fang, Auteur ; Liping Di, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 629 - 649 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] application web [Termes IGN] classification automatique [Termes IGN] classification dirigée Résumé : (Auteur) Web-based image classification systems aim to provide users with an easy access to image classification function. The existing work mainly focuses on web-based unsupervised classification systems. This paper proposes a web-based supervised classification system framework which includes three modules: client, servlet and service. It comprehensively describes how to combine the procedures of supervised classification into the development of a web system. A series of methods are presented to realize the modules respectively. A prototype system of the framework is also implemented and a number of remote sensing (RS) images are tested on it. Experiment results show that the prototype is capable of accomplishing supervised classification of RS images on the Web. If appropriate algorithms and parameter values are used, the results of the web-based solution could be as accurate as the results of traditional desktop-based systems. This paper lays the foundation on both theoretical and practical aspects for the future development of operational web-based supervised classification systems. Numéro de notice : A2016-812 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-016-0252-3 En ligne : http://dx.doi.org/10.1007/s10707-016-0252-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82612 [article]

Geoscience data provenance : An overview / Liping Di in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5065 - 5072 Titre : Geoscience data provenance : An overview Type de document : Article/Communication Auteurs : Liping Di, Auteur ; Peng Yue, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5065 - 5072 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] acquisition de données [Termes IGN] cyberinfrastructure [Termes IGN] données localisées [Termes IGN] état de l'art [Termes IGN] processus spatio-temorel [Termes IGN] service web [Termes IGN] source de données [Termes IGN] utilisateur Résumé : (Auteur) The advancement of Earth observing sensors, data, and information systems enhances significantly the capabilities to access and process large volumes of geoscience data, which are often consumed by scientific workflows and processed in a distributed information environment. Consequently, data provenance becomes important since it allows users to determine the usability and reliability of data products. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the past decade, such as spatial data and information infrastructure, e-Science, and cyberinfrastructure. This paper provides an overview of geoscience data provenance in supporting provenance-aware geoscience data and information systems by summarizing state-of-the-art technologies and methodologies of geoscience data provenance and highlighting key considerations and possible solutions for geoscience data provenance. Numéro de notice : A2013-610 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2242478 En ligne : https://doi.org/10.1109/TGRS.2013.2242478 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32746 [article]

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065-2013111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Intelligent services for discovery of complex geospatial features from remote sensing imagery / Peng Yue in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 151 - 164 Titre : Intelligent services for discovery of complex geospatial features from remote sensing imagery Type de document : Article/Communication Auteurs : Peng Yue, Auteur ; Liping Di, Auteur ; Yaxing Wei, Auteur ; Weiguo Han, Auteur Année de publication : 2013 Article en page(s) : pp 151 - 164 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] armement [Termes IGN] détection d'objet [Termes IGN] information complexe [Termes IGN] information sémantique [Termes IGN] objet géographique complexe [Termes IGN] Web Feature Service Résumé : (Auteur) Remote sensing imagery has been commonly used by intelligence analysts to discover geospatial features, including complex ones. The overwhelming volume of routine image acquisition requires automated methods or systems for feature discovery instead of manual image interpretation. The methods of extraction of elementary ground features such as buildings and roads from remote sensing imagery have been studied extensively. The discovery of complex geospatial features, however, is still rather understudied. A complex feature, such as a Weapon of Mass Destruction (WMD) proliferation facility, is spatially composed of elementary features (e.g., buildings for hosting fuel concentration machines, cooling towers, transportation roads, and fences). Such spatial semantics, together with thematic semantics of feature types, can be used to discover complex geospatial features. This paper proposes a workflow-based approach for discovery of complex geospatial features that uses geospatial semantics and services. The elementary features extracted from imagery are archived in distributed Web Feature Services (WFSs) and discoverable from a catalogue service. Using spatial semantics among elementary features and thematic semantics among feature types, workflow-based service chains can be constructed to locate semantically-related complex features in imagery. The workflows are reusable and can provide on-demand discovery of complex features in a distributed environment. Numéro de notice : A2013-493 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.02.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.02.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32631 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013091	RAB	Revue	Centre de documentation	En réserve L003	Disponible