Improving SAR tomography via CAESAR for built structures monitoring: An application to COSMO-SKYMED data (Contributo in atti di convegno)

Type
Label
  • Improving SAR tomography via CAESAR for built structures monitoring: An application to COSMO-SKYMED data (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/IGARSS.2014.6946635 (literal)
Alternative label
  • Fornaro, G.a and Pauciullo, A.a and Reale, D.a and Verde, S.a b (2014)
    Improving SAR tomography via CAESAR for built structures monitoring: An application to COSMO-SKYMED data
    in International Geoscience and Remote Sensing Symposium (IGARSS) 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Fornaro, G.a and Pauciullo, A.a and Reale, D.a and Verde, S.a b (literal)
Pagina inizio
  • 1156 (literal)
Pagina fine
  • 1159 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • cited By 0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@5c0ec2b3 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3ff3a2e6 Through org.apache.xalan.xsltc.dom.DOMAdapter@766b19a5; Conference Code:109054 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84911363305&partnerID=40&md5=b49a9a405cfeccd3b475b2f3deff0f80 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute for Electromagnetic Sensing of the Enviromental (IREA), National Research Council (CNR), Via Diocleziano 328Napoli, Italy; University of Naples Parthenope, Department of Engineering, Centro Direzionale Isola C4Napoli, Italy (literal)
Titolo
  • Improving SAR tomography via CAESAR for built structures monitoring: An application to COSMO-SKYMED data (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9781479957750 (literal)
Abstract
  • In the last years spaceborne Synthetic Aperture Radar (SAR) Tomography has been successfully exploited for the analysis of complex scenarios, such as urban areas and infrastructures. In this work a novel method is investigated to achieve improved multidimensional tomographic reconstructions of built structures at a fine scale: it exploits a preliminary data filtering stage carried out via the Component extrAction and sElection SAR (CAESAR) algorithm, based on the application of the Principal Component Analysis (PCA) with a reduced multilooking degree. Experimental results obtained by applying this technology to COSMO-SKYMED data are shown. (literal)
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