Publications

31. Scuccato, T.; Carrer, L.; Bovolo, F.; Bruzzone, L.,
    Compensating Earth Ionosphere Phase Distortion in Spaceborne VHF Radar Sounders for Subsurface Investigations,
    in «IEEE GEOSCIENCE AND REMOTE SENSING LETTERS»,
    vol. 15,
    n. 10,
    2018
    , pp. 1672 -
    1676
32. Aiazzi, Bruno; Bovolo, Francesca; Bruzzone, Lorenzo; Garzelli, Andrea; Pirrone, Davide; Zoppetti, Claudia,
    Change Detection in Multitemporal Images Through Single- and Multi-scale Approaches,
    Mathematical Models for Remote Sensing Image Processing,
    2018
    , pp. 325 -
    355
33. Saha, Sudipan; Bovolo, Francesca; Bruzzone, Lorenzo,
    Destroyed-buildings detection from VHR SAR images using deep features,
    Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV,
    2018
    , (SPIE Image and Signal Processing for Remote Sensing XXIV,
    Berlin, Germany,
    10-13/09/2018)
34. Harikumar, Aravind; Paris, Claudia; Bovolo, Francesca; Bruzzone, Lorenzo,
    A novel data-driven approach to tree species classification using high density multireturn airborne lidar data,
    Proceedings Volume 10789, Image and Signal Processing for Remote Sensing XXIV; 107890E (2018),
    vol.XXIV, 107890E,
    2018
    , pp. 13-
    Berlin, Germany,
    10-13 September 2018)
35. Harikumar, Aravind; Liang, Xinlian; Bovolo, Francesca,
    An approach to tree species classification using voxel neighborhood density based subsampling of multiscan terrestrial LiDAR data,
    Geoscience and Remote Sensing Symposium (IGARSS ‘18),,
    2018
    , pp. 2809-
    2812
    , (IEEE Geoscience and Remote Sensing Symposium (IGARSS ‘18),,
    Valencia, Spain,
    22-27 July 2018)
36. Niroumand-Jadidi, Milad; Bovolo, Francesca; Vitti, Alfonso; Bruzzone, Lorenzo,
    A novel approach for bathymetry of shallow rivers based on spectral magnitude and shape predictors using stepwise regression,
    Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV,
    2018
    , pp. 23-
    , (Image and Signal Processing for Remote Sensing XXIV,
    Berlin, Germany,
    10-13/09/2018)
37. Saha, S.; Bovolo, F.; Bruzzone, L.,
    Unsupervised Multiple-Change Detection in VHR Optical Images Using Deep Features,
    Proceedings of IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    IEEE,
    2018
    , pp. 1902-
    1905
    , (IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    Valencia, Spain,
    22-27 July 2018)
38. Donini, E.; Bovolo, F.; Gerekos, C.; Carrer, L.; Bruzzone, L.,
    An Approach to Lava Tube Detection in Radar Sounder Data of The Moon,
    Proceedings of IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    New York,
    IEEE,
    2018
    , pp. 8424-
    8427
    , (IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
39. Bertoluzza, M.; Bruzzone, L.; Bovolo, F.,
    A Circular Approach To Multi-Class Change Detection In Multitemporal Sentinel-1 Sar Image Time Series,
    Proceedings of IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    IEEE,
    IEEE,
    2018
    , pp. 4201-
    4204
    , (IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    Valencia, Spain,
    22-27 July 2018)
40. Solano-Correa, Y. T.; Bovolo, F.; Bruzzone, L.; Fernandez-Prieto, D.,
    Automatic Derivation of Cropland Phenological Parameters by Adaptive Non-Parametric Regression of Sentinel-2 NDVI Time Series,
    Proceedings of IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    New York,
    IEEE,
    2018
    , pp. 1946-
    1949
    , (IEEE 2018 Int. Geoscience and Remote Sensing Symposium,
    Valencia, Spain,
    22-27 July 2018)

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