@InProceedings{AnjosAlmeGalvFons:2013:UrFeEx,
               author = "Anjos, Camila Souza dos and Almeida, Cl{\'a}udia Maria de and 
                         Galv{\~a}o, Lenio Soares and Fonseca, Leila Maria Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Urban Feature Extraction on Simulated WorldView-2 Images",
            booktitle = "Proceedings...",
                 year = "2013",
                pages = "284--287",
         organization = "Joint Urban Remote Sensing Event, (JURSE).",
            publisher = "IEEE Geoscience and Remote Sensing Society",
                 note = "Setores de Atividade: Atividades dos servi{\c{c}}os de tecnologia 
                         da informa{\c{c}}{\~a}o, Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.",
             keywords = "Air-borne sensors, HyperSpectral, Multi-spectral, Scanner systems, 
                         Simulated images, Spectral angle mappers, Urban feature 
                         extraction, Worldview-2, Remote sensing, Feature extraction 
                         CORRESPONDENCE ADDRESS: National Institute for Space Research, 
                         INPE, S{\~a}o Jos{\'e} dos Campos, Brazil.",
             abstract = "This work presents a procedure for simulating the eight 
                         multispectral bands of the WorldView-2 satellite by means of bands 
                         available in the airborne sensor HSS (Hyperspectral Scanner 
                         System). Both the original and simulated images were classified 
                         using the SAM (Spectral Angle Mapper) algorithm, aiming to 
                         discriminate intra-urban targets, namely: French tiles, 
                         asphalt/concrete, steel and aluminum tiles, bare soil, native 
                         arborous vegetation, and grass. The simulated images proved to be 
                         suitable for the detection of all aforementioned targets.",
  conference-location = "S{\~a}o Paulo, SP",
      conference-year = "21-23 abr., 2013",
                  doi = "10.1109/JURSE#.2013.6550720",
                  url = "http://dx.doi.org/10.1109/JURSE#.2013.6550720",
                 isbn = "9781479902132",
                label = "lattes: 1861914973833506 2 AnjosAlmeGalvFons:2013:UrFeEx",
             language = "en",
           targetfile = "06550720.pdf",
                  url = "http://www.inpe.br/jurse2013/proceedings.php",
        urlaccessdate = "28 abr. 2024"
}