@InProceedings{PintoFonsPonzCast:2015:AvTéFu,
               author = "Pinto, Cibele Teixeira and Fonseca, Leila Maria Garcia and 
                         Ponzoni, Fl{\'a}vio Jorge and Castro, Ruy Morgado de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o de T{\'e}cnicas de Fus{\~a}o de Imagens 
                         Aplicadas ao Sensor NAOMI 1/FASAT",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "510--517",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Image fusion process consists in combining of two or more images 
                         into a single image. It retains significant characteristic of each 
                         original images used. Fusion of multispectral images (low spatial 
                         resolution) with panchromatic images (better spatial resolution) 
                         has become a common procedure in many remote sensing applications, 
                         for instance. Several techniques for image fusion have been 
                         proposed, however, each one presents limitations. This study aims 
                         to evaluate 4 (four) techniques of image fusion (Principal 
                         Component Analysis, Gram-Schmidt, Hue Saturation Intensity and 
                         High-Pass Filter) applied to the Chilean NAOMI-1 sensor images 
                         aboard of FASAT satellite. The performance of the 4 (four) 
                         techniques was evaluated using 5 (five) quantitative methods: 3 
                         (three) of them assessing the preservation ability of the spectral 
                         content (mean of bias, difference variance and correlation 
                         coefficient) and 2 (two) of them evaluating the details 
                         transference in the spatial domain (coefficient correlation and 
                         HCC method). All fusion techniques tested were considered 
                         satisfactory. The correlation between the resulted images and the 
                         original multispectral ones was approximately 0.9 for all tested 
                         techniques, indicating high fidelity of spectral content. 
                         Regarding the assessment of spatial quality, HCC method showed 
                         that PC and Gram Schmidt techniques presented better applicability 
                         on study images fusion, with an average correlation values equal 
                         to 0.9, indicating high level of spatial information 
                         transferring.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "102",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM45CH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM45CH",
           targetfile = "p0102.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "28 abr. 2024"
}