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Lorenzo Bruzzone: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. K. Saroj, Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone
    Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System. [Citation Graph (0, 0)][DBLP]
    ICIT, 2006, pp:209-212 [Conf]
  2. Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico
    Crack Detection by a Measure of Texture Anisotropy. [Citation Graph (0, 0)][DBLP]
    ICIAP, 1995, pp:743-747 [Conf]
  3. Lorenzo Bruzzone, Diego Fernández Prieto
    An MRF Approach to Unsupervised Change Detection. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1999, pp:143-147 [Conf]
  4. Francesca Bovolo, Lorenzo Bruzzone
    An adaptive multiscale approach to unsupervised change detection in multitemporal SAR images. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:665-668 [Conf]
  5. B. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone
    Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2006, pp:128-139 [Conf]
  6. Lorenzo Bruzzone, Roberto Cossu
    A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:259-268 [Conf]
  7. Lorenzo Bruzzone, Roberto Cossu, Diego Fernández Prieto
    Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:290-299 [Conf]
  8. Francesca Bovolo, Lorenzo Bruzzone
    A Context-Sensitive Technique Based on Support Vector Machines for Image Classification. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:260-265 [Conf]
  9. Lorenzo Bruzzone, Mattia Marconcini
    A Novel T2-SVM for Partially Supervised Classification. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:40-49 [Conf]
  10. Mayank Tyagi, Ankit K. Mehra, Subhasis Chaudhuri, Lorenzo Bruzzone
    Unsupervised Classification of Remote Sensing Data Using Graph Cut-Based Initialization. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:206-211 [Conf]
  11. Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza
    Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:4, pp:289-297 [Journal]
  12. G. Simone, Alfonso Farina, Francesco Carlo Morabito, Sebastiano B. Serpico, Lorenzo Bruzzone
    Image fusion techniques for remote sensing applications. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:1, pp:3-15 [Journal]
  13. Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani
    Image thresholding based on the EM algorithm and the generalized Gaussian distribution. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:2, pp:619-634 [Journal]
  14. Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza
    Detection of land-cover transitions by combining multidate classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:13, pp:1491-1500 [Journal]
  15. Lorenzo Bruzzone, Diego Fernández Prieto
    A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:9, pp:1063-1071 [Journal]
  16. Lorenzo Bruzzone, Diego Fernández Prieto
    An incremental-learning neural network for the classification of remote-sensing images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1241-1248 [Journal]
  17. Lorenzo Bruzzone, Sebastiano B. Serpico
    Classification of imbalanced remote-sensing data by neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1323-1328 [Journal]
  18. Mingmin Chi, Lorenzo Bruzzone
    An ensemble-driven k-NN approach to ill-posed classification problems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:4, pp:301-307 [Journal]
  19. Giorgio Giacinto, Fabio Roli, Lorenzo Bruzzone
    Combination of neural and statistical algorithms for supervised classification of remote-sensing image. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:5, pp:385-397 [Journal]
  20. Sebastiano B. Serpico, Lorenzo Bruzzone, Fabio Roli
    An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:13, pp:1331-1341 [Journal]
  21. Lorenzo Bruzzone, Diego Fernández Prieto
    An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:4, pp:452-466 [Journal]
  22. Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda
    A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:8, pp:2208-2225 [Journal]

  23. A Multiscale Change Detection Technique Robust to Registration Noise. [Citation Graph (, )][DBLP]


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