Fechar
Metadados

@InProceedings{UbaDutrSoarCost:2015:ImHiSe,
               author = "Uba, Douglas Messias and Dutra, Luciano Vieira and Soares, 
                         Marinalva Dias and Costa, Gilson Alexandre Ostwald Pedro da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Implementation of a hierarchical segmentation algorithm for radar 
                         and optical data using TerraLib",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4041--4048",
         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 = "This paper describes briefly the underlying algorithm and some of 
                         the key implementation aspects of a hierarchical segmentation 
                         program called MultiSeg. Built on a previous development called 
                         SegSAR, MultiSeg consists on a specialized segmentation technique 
                         for SAR and optical imagery. Initially, images are compressed at 
                         different rates creating an image pyramid, then a region growing 
                         procedure is used in combination with a split and merge technique 
                         at the different compression levels. In sequence, the program 
                         processes the image pyramid from the coarser to the finer 
                         compression levels, applying a border refinement heuristic each 
                         time it changes from one level to the next. MultiSeg was created 
                         in the C++ language, with the support from an open-source library 
                         (TerraLib). The devised software architecture permits easy 
                         extension of its capabilities. Additionally, preliminary tests 
                         have shown that MultiSeg is capable of processing large volumes of 
                         data efficiently. This paper also shows a few examples of 
                         segmentation results obtained with MultiSeg, which help to 
                         understand the influence of the programs parameters on the 
                         segmentation results. Systematic tests with MultiSeg are still 
                         under way, aiming at demining the limitations of the program in 
                         terms of the data volume, and proper parameter settings for 
                         different image types and target object classes. Preliminary 
                         results are, however, very promising.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "799",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4CC8",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4CC8",
           targetfile = "p0799.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "01 dez. 2020"
}


Fechar