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Publications

  1. V.-E. Neagoe; A.-I. Ciurea; L. Bruzzone; F. Bovolo,
    A Novel Neural Approach for Unsupervised Change Detection Using SOM Clustering for Pseudo-Training Set Selection Followed by CSOM Classifier,
    Proceedings IEEE 2014 Int. Geoscience and Remote Sensing Symposium,
    NY,
    IEEE,
    2014
    , pp. 1437-
    1440
    , (IEEE 2014 Int. Geoscience and Remote Sensing Symposium,
    Québec City, Québec, Canada,
    13-18 July 2014)
  2. Y.T. Solano Correa; F. Bovolo; L. Bruzzone,
    Change Detection in Very High Resolution Multisensor Optical Images,
    in «PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING»
    SPIE Conference on Image and Signal Processing for Remote Sensing XX,
    vol.9244,
    2014
    , pp. 924410-
    , (SPIE Conference on Image and Signal Processing for Remote Sensing XX,
    Amsterdam, Netherlands,
    22-25 September 2014)
  3. V.-E. Neagoe; A.-I. Ciurea; R.-M. Stoica; F. Bovolo; L. Bruzzone,
    Unsupervised Change Detection with Concurrent Self-Organizing Maps,
    ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Publications Office of the European Union,
    2014
    , (ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Bucharest, Romania,
    05-07 March 2014)
  4. F. Bovolo; L. Bruzzone; B. Demir,
    An Approach to Content-Based Time Series Retrieval for Detecting Changes in Large Remote Sensing Data Archive,
    ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Publications Office of the European Union,
    2014
    , (ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Bucharest, Romania,
    05-07 March 2014)
  5. L. Bruzzone; B. Demir; F. Bovolo; C. Brockmann; N. Fomferra; M. Iapaolo; R. Jha; J. Lu; R. Quast; K. Stelzer; L. Veci,
    Analyzing and Retrieving Remote Sensing Images from Large Data Archives,
    Proceedings of the ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Publications Office of the European Union,
    2014
    , pp. 101-
    106
    , (ESA-EUSC-JRC 9th Conference on Image Information Mining,
    Bucharest, Romania,
    05-07 March 2014)
  6. F. Bovolo; A. Cazzolli; B. Demir; L. Bruzzone,
    An Approach to Content Based Time Series Retrieval (CBTSR),
    Proceedings of the 2014 conference on Big Data from Space (BiDS’14),
    Luxembourg,
    Publications Office of the European Union,
    2014
    , pp. 117-
    120
    , (Conference on Big Data from Space (BiDS’14),
    ESA-ESRIN, Frascati, Roma, Italy,
    12-14 November 2014)
  7. V.E. Neagoe; C.E. Neghina; L. Bruzzone; F. Bovolo,
    Ant Colony Optimization Band Selection for Classification of Multispectral Earth Observation Imagery,
    Proceedins of the 2014 conference on Big Data from Space (BiDS’14),
    Luxembourg,
    Publications Office of the European Union,
    2014
    , pp. 291-
    294
    , (Conference on Big Data from Space (BiDS’14),
    ESA - ESRIN, Frascati, Rome, Italy,
    12-14 November 2014)
  8. Bruzzone, L.; Bovolo, F.; Castelletti, D.; Ferro, A.; Ilisei, A.M.,
    Toward an Automatic System for Information Extraction from Planetary Data,
  9. Bovolo, F.; Bruzzone, L.; Benediktsson, J. (eds.),
    Proceedings of the SPIE Image and Signal Processing for Remote Sensing XX,
    Bellingham,
    SPIE,
    2014
  10. B. Demir;F. Bovolo;L. Bruzzone,
    in «IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING»,
    vol. 2013/51,
    2013
    , pp. 300 -
    312

Pages