Centre de documentation
scientifique

Dépouillements

Sensible field computing: evaluating the use of mobile GIS methods in scientific fieldwork / A.J. Watgendonk in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 6 (June 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 6 (June 2007) . - pp 651 - 662 Titre : Sensible field computing: evaluating the use of mobile GIS methods in scientific fieldwork Type de document : Article/Communication Auteurs : A.J. Watgendonk, Auteur ; R.A.M. DE Jeu, Auteur Année de publication : 2007 Article en page(s) : pp 651 - 662 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] intégration de données [Termes IGN] lever topographique [Termes IGN] ordinateur portable [Termes IGN] SIG nomade Résumé : (Auteur) Traditional analogue field methods are increasingly becoming a limiting factor in the workflow of computerized research projects. At the same time, the potential of mobile GIS and other mobile computing methods to support better and more efficient scientific data collection is widely acknowledged. There seems, however, to be little scientific proof for the added value and successful continuation of these methods beyond the pilot stage. In particular, the diversity and unique mobility characteristics of fieldwork pose specific difficulties for the design, implementation, and support of these methods. This paper offers a simple ex ante/ex post evaluation framework to help researchers in estimating the added value of a mobile computing method. The application of this framework is exemplified with an archaeological case study and demonstrates that its use can result in a more comprehensive view of the potential and actual benefits of applying specific mobile computing methods in scientific fieldwork. Copyright ASPRS Numéro de notice : A2007-296 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.14358/PERS.73.6.651 En ligne : https://doi.org/10.14358/PERS.73.6.651 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28659 [article]

Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation / S. Yi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 6 (June 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 6 (June 2007) . - pp 663 - 670 Titre : Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation Type de document : Article/Communication Auteurs : S. Yi, Auteur ; B. Huang, Auteur ; C. Wang, Auteur Année de publication : 2007 Article en page(s) : pp 663 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement de formes [Termes IGN] données hétérogènes [Termes IGN] données multisources [Termes IGN] graphe relationnel [Termes IGN] information sémantique [Termes IGN] modèle sémantique de données Résumé : (Auteur) Information retrieval and intelligent search among heterogeneous data sources still continue to be challenging tasks. In this study, an attributed relational graph was employed to model the semantic information of heterogeneous geodata sources. Based on the attributed relational graphs, probabilistic relaxation was employed for pattern matching between different data sources. The initial probability and compatibility coefficients were calculated based on the combined evidence from semi-structured geodata sources and the characteristics of discrete and categorical variables. Experiments on automatic pattern matching were carried out and the results demonstrated the effectiveness of the proposed approach in element mapping between heterogeneous data sources. Copyright ASPRS Numéro de notice : A2007-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.6.663 En ligne : http://dx.doi.org/10.14358/PERS.73.6.663 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28660 [article]