@InProceedings{TedescoAntuPeix:2017:ÍnCoBa,
               author = "Tedesco, Andrea and Antunes, Alzir Felippe Buffara and Peixoto, 
                         Elizabete Bugalski de Andrade",
                title = "{\'{\I}}ndice de contraste baseado em imagem de intensidade 
                         (ICBI) para realce de solos",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7158--7162",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Spectral data related to the infrared band are not always 
                         available for orthophotos. In this way, it is not possible to 
                         generate indexes as the NDVI (Normalized Difference Vegetation 
                         Index). However, the incorporation of derived images, such as 
                         NDVI, supports the remote sensing image classification procedures. 
                         Data acquired by ALS (Airborne LASER Scanner), in addition to the 
                         altimetric information, provides an intensity image, acquired in 
                         the infrared band. The LASER beam has an extremely small bandwidth 
                         (e.g., 2 to 5 nm), usually centered at a near infrared wavelength. 
                         In comparison, multispectral images have bands with widths of 50 
                         to 100 nm. Because of this, the intensity image does not reflect 
                         the objects in the same way as a multispectral image in the same 
                         band. In this context, this study investigated the possibility of 
                         using the ALS intensity image to generate a contrast index. For 
                         that, spectral data from orthophotos, combined with ALS intensity 
                         images, were used for different study areas in rural environment. 
                         Indexes with the three visible bands were tested together with the 
                         intensity image. The proposed index (ICBI - Intensity Based 
                         Contrast Index) that presented the best results was generated 
                         using red band (for the multispectral data) and the intensity 
                         image (ALS), evidencing exposed soil areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60074",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMF84",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF84",
           targetfile = "60074.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}