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Crop Classification in Satellite Images through Probabilistic Segmentation Based on Multiple Sources †
Classification methods based on Gaussian Markov Measure Field Models and other probabilistic approaches have to face the problem of construction of the likelihood. Typically, in these methods, the likelihood is computed from 1D or 3D histograms. However, when the number of information sources grows,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492153/ https://www.ncbi.nlm.nih.gov/pubmed/28608825 http://dx.doi.org/10.3390/s17061373 |