Fuzzy Classification of Physiographic Features Extracted from Multiscale DEMs
نویسنده
چکیده
Geomorphological landforms are generally viewed as Boolean objects. However, recent studies have shown that landforms are more suitable to be viewed as fuzzy objects, whereby a landform is defined as a region in the continuum of variation of the surface of the earth. In this paper, the fuzzy classification of physiographic features extracted from multiscale DEMs is performed. First, the lifting scheme is used to generate multiscale DEMs. The three predominant physiographic features, mountains, basins and piedmont slopes, are extracted from the generated multiscale DEMs. Fuzzy classification is performed based on by the average of Boolean memberships of the extracted physiographic features over the scales of measurement. Using the generated fuzzy memberships, the dominant physiographic features, and their variances, are computed. The proposed fuzzy classification method is useful for statistical analyses and determination of sample schemes.
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