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Fletta eftir höfundi "Couceiro, Micael S."

Fletta eftir höfundi "Couceiro, Micael S."

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    Integration of Segmentation Techniques for Classification of Hyperspectral Images 
    Benediktsson, Jon Atli; Ghamisi, Pedram; Couceiro, Micael S.; Fauvel, Mathieu (IEEE, 2014)
    A new spectral-spatial method for classification of hyperspectral images is introduced. The proposed approach is based on two segmentation methods, fractional-order Darwinian particle swarm optimization and mean shift segmentation. The output of these ...
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    Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization 
    Benediktsson, Jon Atli; Ghamisi, Pedram; Martins, Fernando M. L.; Couceiro, Micael S. (IEEE, 2014)
    Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such imagery. In this paper, a new ...
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    A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery 
    Ghamisi, Pedram; Ali, Abder-Rahman; Couceiro, Micael S.; Benediktsson, Jon Atli (IEEE, 2015)
    In land cover assessment, classes often gradually change from one to another. Therefore, it is difficult to allocate sharp boundaries between different classes of interest. To overcome this issue and model such conditions, fuzzy techniques that resemble ...
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    A Novel Feature Selection Approach Based on FODPSO and SVM 
    Benediktsson, Jon Atli; Ghamisi, Pedram; Couceiro, Micael S. (IEEE, 2015-05)
    A novel feature selection approach is proposed to address the curse of dimensionality and reduce the redundancy of hyperspectral data. The proposed approach is based on a new binary optimization method inspired by fractional-order Darwinian particle ...