oru.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring
Örebro universitet, Institutionen för naturvetenskap och teknik. (Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0002-4001-2087
Örebro universitet, Institutionen för naturvetenskap och teknik. (Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0002-0305-3728
Örebro universitet, Institutionen för naturvetenskap och teknik. (Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0002-0579-7181
Örebro universitet, Institutionen för naturvetenskap och teknik. (Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0002-1470-6288
Vise andre og tillknytning
2017 (engelsk)Inngår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, nr 11, artikkel-id 2545Artikkel i tidsskrift, Editorial material (Fagfellevurdert) Published
Abstract [en]

This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable queries about what can be found on the map at a particular location, but also about paths that can be taken. This is achieved by a reasoning framework based on qualitative spatial reasoning that is able to find answers to high level queries that may vary on the current situation. This framework called SemCityMap, provides the full pipeline from enriching the raw image data with rudimentary labels to the integration of a knowledge representation and reasoning methods to user interfaces for high level querying. To illustrate the utility of SemCityMap in a disaster scenario, we use an urban environment—central Stockholm—in combination with a flood simulation. We show that the system provides useful answers to high-level queries also with respect to the current flood status. Examples of such queries concern path planning for vehicles or retrieval of safe regions such as “find all regions close to schools and far from the flooded area”. The particular advantage of our approach lies in the fact that ontological information and reasoning is explicitly integrated so that queries can be formulated in a natural way using concepts on appropriate level of abstraction, including additional constraints.

sted, utgiver, år, opplag, sider
M D P I AG , 2017. Vol. 17, nr 11, artikkel-id 2545
Emneord [en]
satellite imagery data; natural hazards; ontology; reasoning; path finding
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:oru:diva-62134DOI: 10.3390/s17112545ISI: 000416790500107PubMedID: 29113073Scopus ID: 2-s2.0-85033372857OAI: oai:DiVA.org:oru-62134DiVA, id: diva2:1154798
Prosjekter
Semantic RobotTilgjengelig fra: 2017-11-05 Laget: 2017-11-05 Sist oppdatert: 2018-01-03bibliografisk kontrollert

Open Access i DiVA

fulltext(13221 kB)161 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 13221 kBChecksum SHA-512
c8cbba29fbd277cabec067d8deda1ca26dbc4eac95f58d0566e63fa277e4b6d56512b33694be2173e217265230fb4a5e0c87c59ae6009747418a908b2e6f11a5
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMedScopusPDF

Personposter BETA

Alirezaie, MarjanKiselev, AndreyLängkvist, MartinKlügl, FranziskaLoutfi, Amy

Søk i DiVA

Av forfatter/redaktør
Alirezaie, MarjanKiselev, AndreyLängkvist, MartinKlügl, FranziskaLoutfi, Amy
Av organisasjonen
I samme tidsskrift
Sensors

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 161 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 412 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf