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@InProceedings{AlvesValRosAndCre:2017:IdSeLi,
               author = "Alves, Fabio Corr{\^e}a and Valeriano, M{\'a}rcio de Morisson 
                         and Rossetti, Dilce de F{\'a}tima and Andrades Filho, Cl{\'o}dis 
                         de Oliveira and Cremon, Edipo Henrique",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o semiautom{\'a}tica de lineamentos 
                         morfoestruturais no norte da Bacia Para{\'{\i}}ba, PB",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1084--1091",
         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 = "Morphostructural lineaments are linear features in terrain surface 
                         evidenced by morphological elements such as ridges of hills and 
                         drainage lines. In our study area, at the northern 
                         Para{\'{\i}}ba Basin, previous studies describe these features 
                         as possibly associated with geological and tectonic structures, as 
                         faults and folds. The mapping of lineaments has been eased by 
                         several techniques and remote sensing data. In the present work we 
                         evaluated the potential of TecLines, a semi-automated Matlab-based 
                         toolbox for lineament analysis from remote sensing data. This 
                         algorithm was tested on two different versions of the digital 
                         elevation model (DEM) acquired by the Shuttle Radar Topography 
                         Mission (SRTM). Results were evaluated through visual 
                         interpretation, rose diagrams and descriptive statistics. Using a 
                         1:100.000 map of manually extracted set of lineaments as 
                         reference, the digital approach showed better performance in areas 
                         of the crystalline basement, where abundant lineaments are evident 
                         in relief. In the sedimentary areas, otherwise, the gentle 
                         topographic expression of the occasional lineaments limited their 
                         extraction from DEM. Despite the potentially useful sets of 
                         experimental results, sensitivity of the automated extraction was 
                         shown to be directly dependent of the operation parameters, 
                         indicating the convenience of trial-and-error determination of 
                         optimal levels for accuracy according to data and relief 
                         conditions. According to the prevailing nature (and so the 
                         topographic expression) of the lineament features in different 
                         types of terrain (e.g., crystalline or sedimentary) of complex 
                         landscapes, we recommend a stratified application of automated 
                         lineament extraction, with parameters selected in customized 
                         developments.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59789",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4G5M",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PS4G5M",
           targetfile = "59789.pdf",
                 type = "Geomorfologia",
        urlaccessdate = "29 nov. 2020"
}


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