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Auteur Thomas Blaschke |
Documents disponibles écrits par cet auteur (4)



Composition of place: towards a compositional view of functional space / Emmanuel Papadakis in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)
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Titre : Composition of place: towards a compositional view of functional space Type de document : Article/Communication Auteurs : Emmanuel Papadakis, Auteur ; Bernd Resch, Auteur ; Thomas Blaschke, Auteur Année de publication : 2020 Article en page(s) : pp 28 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] approche holistique
[Termes IGN] enrichissement sémantique
[Termes IGN] information géographique
[Termes IGN] interaction humain-espace
[Termes IGN] modélisation spatiale
[Termes IGN] organisation spatiale
[Termes IGN] représentation spatiale
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notion of place. However, these approaches give emphasis on either space or human meaning, or they mainly exist as concepts without practically proven usable artifacts. A partial answer to this problem was proposed by the function-based model that treats place as functional space. This paper focuses primarily on the level of composition, describing and formalizing it as a rule-based framework with the following objectives: (a) contribute to the formalization efforts of the notion of place and its integration within GIS and (b) maintain tangible properties intertwined with the human understanding of place. The operationalization potential of the proposed framework is illustrated with an example of identifying the shopping areas in an urban region. The results show that the proposed model is able to capture all shopping malls as well as other areas that are not explicitly labeled as such but still function similarly to a shopping mall. Numéro de notice : A2020-006 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1598894 Date de publication en ligne : 06/06/2019 En ligne : https://doi.org/10.1080/15230406.2019.1598894 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94343
in Cartography and Geographic Information Science > Vol 47 n° 1 (January 2020) . - pp 28 - 45[article]vol III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova
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[n° ou bulletin]
est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (1980 -) (2012 - )
Titre : vol III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Éditeur scientifique ; F. Sunar, Éditeur scientifique ; Markéta Potůčková, Éditeur scientifique ; L. Patková, Éditeur scientifique ; M. Yoshimura, Éditeur scientifique ; Uwe Soergel, Éditeur scientifique ; Eyal Ben-Dor, Éditeur scientifique ; J. Smit, Éditeur scientifique ; G. Bareth, Éditeur scientifique ; J. Zhang, Éditeur scientifique ; S. Kaasalainen, Éditeur scientifique ; Batuhan Osmanoglu, Éditeur scientifique ; M. Crespi, Éditeur scientifique ; Michele Crosetto, Éditeur scientifique ; Thomas Blaschke, Éditeur scientifique ; Maria Antonia Brovelli, Éditeur scientifique ; B. Zagajewski, Éditeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27508 [n° ou bulletin]Monitoring recovery after earthquakes through the integration of remote sensing, GIS, and ground observations: the case of L’Aquila (Italy) / Diana Contreras in Cartography and Geographic Information Science, Vol 43 n° 2 (April - May 2016)
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Titre : Monitoring recovery after earthquakes through the integration of remote sensing, GIS, and ground observations: the case of L’Aquila (Italy) Type de document : Article/Communication Auteurs : Diana Contreras, Auteur ; Thomas Blaschke, Auteur ; Dirk Tiede, Auteur ; Marianne Jilge, Auteur Année de publication : 2016 Article en page(s) : pp 115 - 133 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] détection de changement
[Termes IGN] Italie
[Termes IGN] outil d'aide à la décision
[Termes IGN] séisme
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The usefulness of remote sensing (RS), geographical information systems, and ground observations for monitoring changes in urban areas has been demonstrated through many examples over the last two decades. Research has generally focused on the relief phase following a disaster, but we have instead investigated the subsequent phases involving early recovery, recovery, and development. Our aim was to determine to what extent integration of the available tools, techniques, and methods can be used to efficiently monitor the progress of recovery following an earthquake. Changes in buildings within the Italian city of L’Aquila following the 2009 earthquake were identified from Earth observation data and are used as indicators of progress in the recovery process. These changes were identified through (1) visual analysis, (2) automated change detection using a set of decision rules formulated within an object-based image analysis framework, and (3) validation based on a combination of visual and semiautomated interpretations. An accuracy assessment of the automated analysis showed a producer accuracy of 81% (error of omission: 19%) and a user accuracy of 55% (error of commission: 45%). The use of RS made it possible for the identification of changes to be spatially exhaustive, and also to increase the number of categories used for a recovery index. In addition, using RS allowed the area requiring extensive fieldwork (to monitor the progress of the recovery process) to be reduced. Numéro de notice : A2016-282 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15230406.2015.1029520 En ligne : https://doi.org/10.1080/15230406.2015.1029520 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80853
in Cartography and Geographic Information Science > Vol 43 n° 2 (April - May 2016) . - pp 115 - 133[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2016021 RAB Revue Centre de documentation En réserve L003 Disponible Geographic Object-Based Image Analysis: Towards a new paradigm / Thomas Blaschke in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
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Titre : Geographic Object-Based Image Analysis: Towards a new paradigm Type de document : Article/Communication Auteurs : Thomas Blaschke, Auteur ; Geoffrey Hay, Auteur ; Maggi Kelly, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 180 - 191 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] classification
[Termes IGN] information sémantique
[Termes IGN] modèle orienté objet
[Termes IGN] objet géographique
[Termes IGN] ontologie
[Termes IGN] pixel
[Termes IGN] segmentation d'imageRésumé : (Auteur) The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing and Geographic Information Science (GIScience). We first discuss several limitations of prevailing per-pixel methods when applied to high resolution images. Then we explore the paradigm concept developed by Kuhn (1962) and discuss whether GEOBIA can be regarded as a paradigm according to this definition. We crystallize core concepts of GEOBIA, including the role of objects, of ontologies and the multiplicity of scales and we discuss how these conceptual developments support important methods in remote sensing such as change detection and accuracy assessment. The ramifications of the different theoretical foundations between the ‘per-pixel paradigm’ and GEOBIA are analysed, as are some of the challenges along this path from pixels, to objects, to geo-intelligence. Based on several paradigm indications as defined by Kuhn and based on an analysis of peer-reviewed scientific literature we conclude that GEOBIA is a new and evolving paradigm. Numéro de notice : A2014-019 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.09.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.09.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32924
in ISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 180 - 191[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014011 RAB Revue Centre de documentation En réserve L003 Disponible