@Article{SimoniRodrOliv:1989:ArInAp,
               author = "Simoni, Paulo Ouvera and Rodrigues, Valter and Oliveira, Pedro 
                         Paulo Balbi de",
                title = "An artificial intelligence approach to lineation and lineament 
                         extraction from remote sensing data",
              journal = "x",
                 year = "1989",
               volume = "X",
                pages = "323--329",
                 note = "Congresso Brasileiro de Cartografia, 14; Latin American Symposium 
                         on Remote Sensing, 3, 21-26 maio, 1989, Gramado, BR.",
             keywords = "COMPUTACAO APLICADA, inteligencia artificial, sistemas baseados no 
                         conhecimento, processamento de imagens, artificial intelligence, 
                         knowledge based systems, image processing.",
             abstract = "A knowledge based vision system, under development, to help 
                         structural geologists in the extraction of lineations and 
                         lineaments from remote sensing images is described. The proposed 
                         approach departs from traditional image processing techniques in 
                         the sense that it takes into account the integration of many 
                         factors (e.g., sensor type, position of the observer, shadowing, 
                         knowledge about dominant structures)that may have influence over 
                         the inference of relief convexity, the detection of linear 
                         features and the type of feature. This integration is accomplished 
                         by means of declarative and procedural knowledge which allow: the 
                         reinforcement of image processing algorithm parameters, the choice 
                         of the region to be focused on an image, and both the generation 
                         and confirmation of hypotheses about the geologic significance of 
                         an extracted linear element. The system is not intended to fully 
                         automating the extraction task; interpretive and extraction data 
                         should be entered by an user at any point during the analysis 
                         process.",
                label = "2995",
           targetfile = "INPE 8128.pdf",
        urlaccessdate = "21 maio 2024"
}