SOCO-Field: observation capability representation for GeoTask-oriented multi-sensor planning cognition. Issue 2 (1st February 2020)
- Record Type:
- Journal Article
- Title:
- SOCO-Field: observation capability representation for GeoTask-oriented multi-sensor planning cognition. Issue 2 (1st February 2020)
- Main Title:
- SOCO-Field: observation capability representation for GeoTask-oriented multi-sensor planning cognition
- Authors:
- Hu, Chuli
Li, Jie
Xiao, Changjiang
Wang, Ke
Chen, Nengcheng - Abstract:
- ABSTRACT: When facing a specific emergent geographical environment observation task (GeoTask), people need to be able to handle reliable and comprehensive disaster information in the shortest possible time. The lack of effective cognition of multi-sensor collaborated observation capability is a hindrance to performance. By adopting the GIS object field concept as the bottom framework, we propose a sensor observation capability object field (SOCO-Field) with sensor observation capability particle (SOC-Particle) as its core. SOCO-Field integrates SOC-Objects and GeoField for the discovery and association of sensors. SOC-Particle objectively exists on every location point in the geospatial environment, and SOC-Particles in space-continuous areas can further aggregate into SOC-Particle cluster to represent single- or multi-sensor-associated observation capability information. SOCO-Field includes three basic association behaviours and four further association behaviours to solve associated observation capability, in which the dynamic GeoField is the influential factor. An experiment on flood monitoring in the lower reaches of Jinsha River Basin is conducted. The sensor planner can view any sensor combination's associated observation capability under a specific association mode and can effectively dispatch a multi-sensor for collaborated observation due to the effective modelling of associated sensor observation capability information (SOCInfo).
- Is Part Of:
- International journal of geographical information science. Volume 34:Issue 2(2020)
- Journal:
- International journal of geographical information science
- Issue:
- Volume 34:Issue 2(2020)
- Issue Display:
- Volume 34, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 34
- Issue:
- 2
- Issue Sort Value:
- 2020-0034-0002-0000
- Page Start:
- 205
- Page End:
- 228
- Publication Date:
- 2020-02-01
- Subjects:
- Geospatial sensor web -- observation capability cognition -- object field -- collaborative observation -- flood
Geography -- Data processing -- Periodicals
Information storage and retrieval systems -- Periodicals
Géomatique -- Périodiques
Systèmes d'information -- Périodiques
910.285 - Journal URLs:
- http://www.tandfonline.com/loi/tgis20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/13658816.2019.1655755 ↗
- Languages:
- English
- ISSNs:
- 1365-8816
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.266150
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21719.xml