SVM-based cloud detection aided by contextual information

@article{Addesso2012SVMbasedCD,
  title={SVM-based cloud detection aided by contextual information},
  author={Paolo Addesso and Roberto Conte and Maurizio Longo and Rocco Restaino and Gemine Vivone},
  journal={2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS)},
  year={2012},
  pages={214-221}
}
  • Paolo Addesso, Roberto Conte, +2 authors Gemine Vivone
  • Published in
    Tyrrhenian Workshop on…
    2012
  • Geography, Computer Science
  • Support Vector Machines (SVM) emerge among the classification methods as a very effective tool for separating the illuminated scene in different classes by utilizing multiple features. Typically, a pixelwise classification is performed by employing, as features, the radiances at different bands. This neglects the possibility of accounting for the spatial, and possibly the temporal, correlation within and among the images. Existing methods include the latter through segmentation methods whose… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 24 REFERENCES

    Statistical learning theory

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    and G

    • P. Addesso, R. Conte, M. Longo, R. Restaino
    • Vivone, “MAP-MRF cloud detection based on phd filtering,” IEEE J. Sel. Topics Appl. Earth Observ.
    • 2012
    VIEW 2 EXCERPTS

    MAP-MRF Cloud Detection Based on PHD Filtering

    Markov Random Field Modeling in Image Analysis

    • Stan Z. Li
    • Computer Science
    • Advances in Pattern Recognition
    • 2009
    VIEW 2 EXCERPTS