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@Article{NakamuraFoSaToYaPa:2014:NaFrHy,
               author = "Nakamura, Rodrigo Y. M. and Fonseca, Leila Maria Garcia and 
                         Santos, Jefersson Alex dos and Torres, Ricardo da S. and Yang, 
                         Xin-She and Papa, Joao Papa",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade Estadual de 
                         Campinas (UNICAMP)} and {Universidade Estadual de Campinas 
                         (UNICAMP)} and {Middlesex University} and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Nature-Inspired Framework for Hyperspectral Band Selection",
              journal = "IEEE Transactions on Geoscience and Remote Sensing",
                 year = "2014",
               volume = "52",
               number = "4",
                pages = "2126--2137",
                month = "Apr.",
             keywords = "Evolutionary computation, heuristic algorithms, hyperspectral 
                         imaging, image classification, pattern recognition.",
             abstract = "Although hyperspectral images acquired by on-board satellites 
                         provide information from a wide range of wavelengths in the 
                         spectrum, the obtained information is usually highly correlated. 
                         This paper proposes a novel framework to reduce the computation 
                         cost for large amounts of data based on the efficiency of the 
                         optimum-path forest (OPF) classifier and the power of 
                         metaheuristic algorithms to solve combinatorial optimizations. 
                         Simulations on two public data sets have shown that the proposed 
                         framework can indeed improve the effectiveness of the OPF and 
                         considerably reduce data storage costs.",
                  doi = "10.1109/TGRS.2013.2258351",
                  url = "http://dx.doi.org/10.1109/TGRS.2013.2258351",
                 issn = "0196-2892",
                label = "isi 2014-05 NakamuraGaSaToYaPa:2014:NaFrHy",
             language = "en",
        urlaccessdate = "26 nov. 2020"
}


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