Conference paper Open Access

A multimodal approach in estimating road passability through a flooded area using social media and satellite images

Anastasia Moumtzidou; Panagiotis Giannakeris; Stelios Andreadis; Athanasios Mavropoulos; Georgios Meditskos; Ilias Gialampoukidis; Konstantinos Avgerinakis; Stefanos Vrochidis; Ioannis Kompatsiaris


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  <identifier identifierType="DOI">10.5281/zenodo.2540398</identifier>
  <creators>
    <creator>
      <creatorName>Anastasia Moumtzidou</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7615-8400</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Panagiotis Giannakeris</creatorName>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Stelios Andreadis</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5519-1962</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Athanasios Mavropoulos</creatorName>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Georgios Meditskos</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4242-5245</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Ilias Gialampoukidis</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5234-9795</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Konstantinos Avgerinakis</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4873-5255</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Stefanos Vrochidis</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2505-9178</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Ioannis Kompatsiaris</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6447-9020</nameIdentifier>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A multimodal approach in estimating road passability through a flooded area using social media and satellite images</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-10-29</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2540398</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2540397</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper presents the algorithms that CERTH-ITI team deployed so as to deal with flood detection and road passability from social media and satellite data. Computer vision and deep learning techniques are combined so as to analyze social media and satellite images, while word2vec is used to analyze textual data. Multimodal fusion is also deployed in CERTH-ITI framework, both in early and late stage, by combining deep representation features in the former and semantic logic in the latter so as to provide a deeper and more meaningful understanding of the flood events.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/776019/">776019</awardNumber>
      <awardTitle>EOPEN: opEn interOperable Platform for unified access and analysis of Earth observatioN data</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/700475/">700475</awardNumber>
      <awardTitle>Enhancing decision support and management services in extreme weather climate events</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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