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Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study

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Academic year: 2019

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Figure 1. (a) Landsat 5 image taken in 1989 over the district of Mandimba (RGB-Bands 743) and (b) in black, the mask of the Mandimba district and areas not covered by clouds in the 3 images.
Table 1. Classes used for classification and merged 5-class distribution.
Figure 2. Example of histograms and unimodal and bimodal membership function fits for classes Waterbodies and Forests and Woodlands.
Figure 3. (a) Land cover ground-truth classification as published by Temudo et al. [2]; (b) Fuzzy-Fusion (FF)-Uninorm classification; (c) FF-Uninorm classification after applying a mean filtering.
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