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Unsupervised amplitude and texture classification of SAR images with multinomial latent model

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Academic year: 2021

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TABLE II
Fig. 3. Classification maps of SYN image obtained with unsupervised ATML- ATML-CEM method for different numbers of classes K = {3,4,5,10}.
Fig. 6. (a) TSX2 image, (b), (c) and (d) classification maps obtained by K-MnL, MLS, supervised ATML-CEM and unsupervised ATML-CEM methods.
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