Skip to Main content Skip to Navigation
Conference papers

Guiding the Controller in Geovisual Analytics to Improve Maritime Surveillance

Abstract : Maritime traffic surveillance requires a very accurate and continuous analysis of the sea. This area consists of many different objects, actors and rules. Monitoring such a wide and complex area requires adapted visual tools, such as Maritime Surveillance Systems. These tools help identifying abnormal behaviours, which can lead to risky situations. We investigate the usability of visual analytics and geovisualization methods that will improve these systems: a better synthesis of the data and more effective tools lead to improved situation awareness. Visualization methods and needs of controllers being very specific, there is no single solution for modelling, visualizing and analysing maritime data. In this paper, we identify the limits of current research in geovisual analytics for maritime surveillance. A new approach for guiding the selection of visual analytics methods is proposed. The profile of the user, the purpose of use and the situation to analysis are considered together; a knowledge-based system will guide the user toward the most suitable visualization methods.
Document type :
Conference papers
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download

https://hal-mines-paristech.archives-ouvertes.fr/hal-00799317
Contributor : Magalie Prudon <>
Submitted on : Tuesday, March 12, 2013 - 9:53:48 AM
Last modification on : Friday, October 23, 2020 - 4:59:22 PM
Long-term archiving on: : Sunday, April 2, 2017 - 11:26:16 AM

File

vatin-geoprocessing2013.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00799317, version 1

Citation

Gabriel Vatin, Aldo Napoli. Guiding the Controller in Geovisual Analytics to Improve Maritime Surveillance. GEOProcessing 2013 : The Fifth International Conference on Advanced Geographic Information Systems, Applications, and Services, Feb 2013, Nice, France. pp.26-31 - ISBN 978-1-61208-251-6. ⟨hal-00799317⟩

Share

Metrics

Record views

445

Files downloads

420