@Article{AlmeidaFoVitoBins:1997:ApImMe,
               author = "Almeida Filho, Raimundo and Vitorello, Icaro and Bins, Leonardo 
                         Santa' Anna",
                title = "Application of images merging, segmentation and 
                         region-classification techniques as a new approach for the 
                         detailed thematic mapping of soil-vegetation assemblages",
              journal = "Revista Brasileira de Geoci{\^e}ncias",
                 year = "1997",
               volume = "2",
               number = "27",
                pages = "207--210",
                month = "jun.",
             keywords = "PROCESSAMENTO DIGITAL DE IMAGENS, GOIAS (ESTADO), processamento 
                         digital, mapeamento tem{\'a}tico, digital processing, thematic 
                         mapping.",
             abstract = "Este trabalho discute o uso combinado de tecnicas de fusao, 
                         segmentacao de imagens e classificacao por regioes, como uma nova 
                         abordagem para o mapeamento semi-automatico de associacoes 
                         solo-vegetacao. Como primeiro passo, uma fotografia aerea 
                         pancromatica foi corregistrada com imagens Landsat-TM. A fusao 
                         desses produtos, atraves de transformacoes no espaco de cores 
                         (IHS), gerou um conjunto de imagens hibridas de alta resolucao 
                         espacial. Essas imagens foram segmentadas e classificadas 
                         usando-se um classificador de regioes. A analise das imagens IHS, 
                         baseada em informacoes de campo, permitiu identificar as classes 
                         indicadas na imagem classificada, produzindo um mapa tematico das 
                         diferentes associacoes de solo-vegetacao na area de estudo. Alta 
                         precisao e economia de tempo sao as principais vantagens do metodo 
                         empregado, em comparacao com as tecnicas convencionais de 
                         fotointerpretacao. ABSTRACT The paper discusses the combined use 
                         of image merge, segmentation and region-classification techniques, 
                         as a new approach in the semi-automatic mapping of land-cover 
                         types. In the first step of the procedure, a digitized 
                         panchromatic aerial photograph was co-registered with Landsat-TM 
                         images. A hybrid image set with high-spatial resolution was then 
                         produced by merging the Landsat images and the aerial photograph, 
                         through intensity (I), hue (H) and saturation (S) color transform. 
                         Using segmentation techniques, hybrid images were partitioned off 
                         into homogeneous regions, and classified according to a 
                         region-based classification algorithm. The analysis of the hybrid 
                         IHS color composite supported by field data information permitted 
                         to identify the classes on the classified image, so producing an 
                         accurate thematic mapping of different soil-vegetation assemblages 
                         in the study area. Enhanced precision and time saving are the main 
                         advantages of this approach, in comparison with the conventional 
                         visual interpretation.",
           copyholder = "SID/SCD",
                 issn = "0101-9082",
                label = "8299",
             language = "pt",
           targetfile = "raimundo 5.pdf",
        urlaccessdate = "03 maio 2024"
}