@InProceedings{RosaFernJúni:2015:DeMuIm,
               author = "Rosa, Rafael Antonio da Silva and Fernandes, David and 
                         J{\'u}nior, Jo{\~a}o Bosco Nogueira",
                title = "Detec{\c{c}}{\~a}o de mudan{\c{c}}as em imagens SAR 
                         multi-temporais das bandas X e P utilizando 
                         informa{\c{c}}{\~o}es das coer{\^e}ncias entre elas",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1701--1707",
         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 = "Forest monitoring is a major concern today due to climate changes, 
                         conservation of fauna and flora and to the lack of water. 
                         Therefore, several environmental monitoring techniques have been 
                         developed and used to detect changes in the scenes. The use of SAR 
                         (synthetic aperture radar) seems appropriate to detect changes due 
                         to its independence of atmospheric and lighting conditions. The 
                         SAR change detection is a process that uses SAR images acquired in 
                         the same geometric conditions but in different moment 
                         (multitemporal) to identify changes in the surface that occurred 
                         between two acquisitions. This paper presents a new method of 
                         change detection in multitemporal SAR images using X- and P-band 
                         SAR images to calculate a change indicator image based in the 
                         coherence among images. The novelty of this method is the use of 
                         X- and P-band images sequences. Experimental tests were conducted 
                         using real SAR data obtained by the airborne sensor OrbiSAR-2 from 
                         Bradar in Porto Velho-RO and the results showed very good quality 
                         detections.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "316",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM498B",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM498B",
           targetfile = "p0316.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "28 abr. 2024"
}