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An important topic in using maps derived from a statistical classifier is the accuracy assessment of the classification. Analysts usually need to compare various techniques, algorithms, or different approaches. As pointed out by Stehman and Czap[...]texto impreso
Over the last decades, many fuzzy classification algorithms have been proposed for image classification,and in particular to classify those images obtained by remote sensing. But relatively little effort has been done to evaluate goodness or eff[...]texto impreso
Most of the classification models assume, in a direct or indirect way, the possibility of a representation of the object to be classified within a good properties space, in which one is able to define some distances. Quite often this representat[...]texto impreso
Amo, Ana del ; Montero, Javier ; Fernández, Angela ; López, Marina ; Tordesillas, José Manuel ; Biging, Greg | IEEE-Inst Electrical Electronics Engineers Inc | 2002Geographical information (including remotely sensed data) is usually imprecise, meaning that the boundaries between different phenomena are fuzzy. In fact, many classes in nature show internal gradual differences in species, health, age, moistur[...]
