1,721,250 research outputs found
Image classification by integration of neural networks and machine learning
No full textA new approach is proposed for the integration of neural networks (NN) with machine learning techniques to build up an image classification system. In particular, the author uses a symbolic technique for inductive learning from examples to provide object models. Such models are used to design the architecture and to initialize the weights of a backpropagation NN. Models include uncertainty aspects represented by fuzzy predicates, and relational properties for contextual classification. Both aspects are suitably mapped into the automatically designed NN. Preliminary results in a biomedical application are presented
Multiresolution supervised classification of panchromatic and multispectral images by Markov random fields and graph cuts, Riunione Annuale GTTI, Messina e Taormina (Italy), 20-22 June 2011
No full textAutomatic parameter optimization for support vector regression for land and sea surface temperature estimation from remote sensing data
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An Iterative Technique for the Detection of Land-Cover Transitions in Multitemporal Remote-Sensing Images
No full textA mutual approach based on Markov random fields for multitemporal contextual classification of remote sensing images
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Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery
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