2000
DOI: 10.1080/03081070008960964
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Classifying Pixels by Means of Fuzzy Relations

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Cited by 17 publications
(15 citation statements)
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“…Many different approaches can be found in remote sensing classification literature. In Amo et al 3,5 , for example, some of the authors proposed a classification model based upon a modified outranking model, basically taken from Pearman et al 12 . But the output information appeared to be difficult to be managed by non-qualified decision makers.…”
Section: Introductionmentioning
confidence: 99%
“…Many different approaches can be found in remote sensing classification literature. In Amo et al 3,5 , for example, some of the authors proposed a classification model based upon a modified outranking model, basically taken from Pearman et al 12 . But the output information appeared to be difficult to be managed by non-qualified decision makers.…”
Section: Introductionmentioning
confidence: 99%
“…These aspects have been largely developed in the literature (see e.g. [6,7,17,19,48,89,96,100,150]). Functional approaches consist in minimizing or maximizing a functional, which can be interpreted as an analytical representation of some objective.…”
Section: Low Level: Clustering Enhancement Filtering Edge Detectionmentioning
confidence: 99%
“…The above algorithm has been applied, as a first experiment, to a standard image taken from the MATLAB package (a water colored tree, already considered by in [3], reproduced here as a grey picture (see Fig. 2)).…”
Section: Application To a Standard Matlab Imagementioning
confidence: 99%
“…A key argument, at least in land cover problems (see [1,3,5]), is that our fuzzy classes have a core of connected pixels, surrounded by pixels showing some degree of membership to that core. Hence, classification is made pixel by pixel, but behavior of surrounding pixels should have a strong influence at every stage.…”
Section: The Image and Its Associated Pixels Fuzzy Graphmentioning
confidence: 99%
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