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Geological modelling and validation of geological interpretations via simulation and classification of quantitative covariates
(MDPI AG, 2018)
This paper proposes a geostatistical approach for geological modelling and for validating an interpreted geological model, by identifying the areas of an ore deposit with a high probability of being misinterpreted, based ...
Land use image classification through optimum-path forest clustering
(2011-11-16)
Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this ...
Land use image classification through optimum-path forest clustering
(2011-11-16)
Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
A geostatistical approach to measure the consistency between geological logs and quantitative covariates
(Elsevier, 2017)
Core logging is the geological study, recording and classification of petrophysical attributes of drill hole samples, such as lithology, alteration or mineralogical assemblage. The geological logging is qualitative and ...