• Aucun résultat trouvé

Spatial information fusion: application to expert assessment and management of natural risks in mountains

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Spatial information fusion: application to expert assessment and management of natural risks in mountains"

Copied!
7
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

HAL Id: hal-02594304

https://hal.inrae.fr/hal-02594304

Submitted on 15 May 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Spatial information fusion: application to expert assessment and management of natural risks in

mountains

J.M. Tacnet, Martin Rosalie, J. Dezert, E. Travaglini

To cite this version:

J.M. Tacnet, Martin Rosalie, J. Dezert, E. Travaglini. Spatial information fusion: application to expert assessment and management of natural risks in mountains. Spatial Information Fusion SAGEO’10 Conference, Nov 2010, Toulouse, France. pp.6. �hal-02594304�

(2)

Spatial information fusion

Spatial information fusion --SAGEO 2010 -SAGEO 2010 -JM TACNET et al. JM TACNET et al. 1

Jean

Jean--Marc TACNETMarc TACNET*, Martin ROSALIE**, Martin ROSALIE*,+,+, Jean DEZERT**, Eric TRAVAGLINI*, Jean DEZERT**, Eric TRAVAGLINI*,++,++

* Cemagref

* Cemagref Grenoble –Grenoble – UnitéUnité Erosion Torrentielle Neige et Avalanches (ETNA)Erosion Torrentielle Neige et Avalanches (ETNA)

** ONERA

** ONERA -- Ecole Polytechnique FéEcole Polytechnique Féddéérale de Lausanne (EPFL)rale de Lausanne (EPFL)

++ INSA Rouen INSA Rouen

++++ CISM ChambéCISM Chambéry ry

SPATIAL INFORMATION FUSION

APPLICATION TO EXPERT ASSESSMENT AND MANAGEMENT

OF NATURAL RISKS IN MOUNTAINS

(3)

Dangerous rapid mass movements Dangerous rapid mass movements

Snow avalanches Torrential floods

(4)

Spatial information fusion

Spatial information fusion --SAGEO 2010 -SAGEO 2010 -JM TACNET et al. JM TACNET et al.

(Tacnet et al.,2010)

(5)
(6)

Spatial information fusion

Spatial information fusion --SAGEO 2010 -SAGEO 2010 -JM TACNET et al. JM TACNET et al.

Extension of the ER-MCDA1 methodology

1 Evidential reasoning – Multicriteria Decision Analysis

(7)

1 Evidential reasoning – Multicriteria Decision Analysis

Extension of the ER-MCDA1 methodology

Références

Télécharger maintenant ( PDF - 7 Page - 1.15 MB )

Documents relatifs

Quality of Information Sources in Information Fusion

In the preceding section, meta-knowledge concerned the relevance and the crudest form of lack of truthfulness of sources of information. However, in some applica- tions, the lack

Importance of Semantic Ontologies in Information Fusion

He is a member of the International Society of Information Fusion (ISIF) Evaluation of Technologies for Uncer- tainty Reasoning Working Group (ETURWG) Automatic Target

Detection of potential updates of authoritative spatial databases by fusion of volunteered geographical information from different sources

The main ob- jective of this research is proposing a method for identifying potential updates of mentioned road type of authoritative spatial databases using VGI data, more pre-

Directional Beams of Dense Trajectories for Dynamic Texture Recognition

An effective framework for dynamic texture recognition is introduced by exploiting local features and chaotic motions along beams of dense trajectories in which their motion points

Study of spatial fusion of geographical entities and quantitative information in accordance with their imprecision: application to agricultural information in Observox

In our future work, we would use this study for data storage but we also want to study the propagation of quantitative imprecise information into

Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer

Keywords: Theory of belief functions, Feature selection, Distance metric learning, Data classification, Data clustering, Cancer therapy outcome prediction, Automatic

Normalizing Spatial Information to Better Combine Criteria in Geographical Information Retrieval

The main problem of the other approaches is that each relevancy calculation formula of a document unit is based on different methods corresponding respec- tively to spatial,

Fusion of fuzzy spatial relations

Figure (2(a)) shows that argument