@Article{NovackKuxFeitCost:2014:KnTrAp,
               author = "Novack, Tessio and Kux, Hermann Johann Heinrich and Feitosa, Raul 
                         Q. and Costa, Gilson A. O. P.",
          affiliation = "{Technische Universit{\"a}t M{\"u}nchen} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Catholic University of Rio de 
                         Janeiro / Rio de Janeiro State University} and {Catholic 
                         University of Rio de Janeiro / Rio de Janeiro State University}",
                title = "A knowledge-based, transferable approach for block-based urban 
                         landuse classification",
              journal = "International Journal of Remote Sensing",
                 year = "2014",
               volume = "35",
               number = "13",
                pages = "4739–4757",
             keywords = "landuse classification, remote-sensing imagery.",
             abstract = "In this work we propose a knowledge-based approach for land-use 
                         classification of city blocks through the automatic interpretation 
                         of very-high-resolution remote-sensing imagery. Our approach is 
                         founded on geographic object-based image analysis (GEOBIA) 
                         concepts and is concerned with transferability across distinct 
                         knowledge representation formalisms. This paper therefore 
                         investigates the viability of translating a high-level description 
                         of the interpretation problem into the particular knowledge 
                         representation structures and interpretation strategies of two 
                         different software platforms, namely the proprietary Definiens 
                         Developer system and the open-source InterIMAGE system. Initially, 
                         textual descriptions of the land-use classes of interest were 
                         created by photo interpreters. Then, generic class descriptions 
                         were defined as a system-independent knowledge model, which was 
                         subsequently translated into interpretation projects in the 
                         different systems. Altogether 49 blocks located on two different 
                         test-sites in the city of S{\~a}o Paulo (Brazil) were considered 
                         in the experiments. Although the classification results from the 
                         Definiens Developer system were slightly better than those 
                         obtained with the InterIMAGE system, we concluded that both 
                         systems have been shown to be equally qualified to implement the 
                         target application properly through adaptation of the generic 
                         knowledge model.",
                  doi = "10.1080/01431161.2014.921943",
                  url = "http://dx.doi.org/10.1080/01431161.2014.921943",
                 issn = "0143-1161",
             language = "en",
           targetfile = "Novack_et_al.pdf",
                  url = "http://dx.doi.org/10.1080/01431161.2014.921943",
        urlaccessdate = "28 abr. 2024"
}