Mauro DALLA MURA
Maître de conférences Grenoble-INP
Equipe SIGnal iMAge PHYsique
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : mauro.dalla-mura@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1137
Tél.33 (0)4 76 82 64 82
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Apprentissage statistique: classification automatique de signaux volcano-sismiques

Marielle Malfante, Mauro Dalla Mura, Baptiste Boullay, Jean-Philippe Métaxian, Jerome Mars. Apprentissage statistique: classification automatique de signaux volcano-sismiques. Conférence GRETSI 2017, Sep 2017, Juan les Pins, France. 2017, Proceeding Actes de la conférence Gretsi 2017. 〈hal-01583748〉

Automatic classification of seismo-volcanic signatures

Marielle Malfante, Mauro Dalla Mura, Jerome Mars, Orlando Macedo, Adolfo Inza, et al.. Automatic classification of seismo-volcanic signatures. European Geosciences Union General Assembly 2017, Apr 2017, Vienne, Austria. 19, pp.8842-2, 2017. 〈hal-01520728〉

Context-adaptive Pansharpening Based on Image Segmentation

Rocco Restaino, Mauro Dalla Mura, Gemine Vivone, Jocelyn Chanussot. Context-adaptive Pansharpening Based on Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (2), pp.753-766. 〈10.1109/TGRS.2016.2614367〉. 〈hal-01402601〉

Automatic Attribute Profiles

Gabriele Cavallaro, Nicola Falco, Mauro Dalla Mura, Jón Benediktsson. Automatic Attribute Profiles. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2017, 26 (4), pp.1859-1872. 〈10.1109/TIP.2017.2664667〉. 〈hal-01443625〉

Information Extraction by Blind Source Separation from Polarimetric SAR Data

Leandro Pralon, Gabriel Vasile, Mauro Dalla-Mura, Jocelyn Chanussot. Information Extraction by Blind Source Separation from Polarimetric SAR Data. IEEE International Geoscience and Remote Sensing Symposium, 2017, Fort Worth, United States. 〈hal-01593486〉

Evaluation of the New Information in the H/α Feature Space Provided by ICA in PolSAR Data Analysis

Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. Evaluation of the New Information in the H/α Feature Space Provided by ICA in PolSAR Data Analysis. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, A Paraître, pp.1 - 17. 〈10.1109/TGRS.2017.2735992〉. 〈hal-01593483〉

A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis

Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, New Orleans, LA, United States. pp.4277 - 4280, 2017, Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. 〈10.1109/ICASSP.2017.7952963〉. 〈hal-01546834〉

GAS plume detection in hyperspectral video sequence using low rank representation

Yang Xu, Zebin Wu, Zhihui Wei, Mauro Dalla Mura, Jocelyn Chanussot, et al.. GAS plume detection in hyperspectral video sequence using low rank representation . 2016 IEEE International Conference on Image Processing (ICIP) , Sep 2016, Phoenix, United States. 〈10.1109/ICIP.2016.7532753 〉. 〈hal-01442626〉

Unmixing-based gas plume tracking in LWIR hyperspectral video sequences

Guillaume Tochon, Delphine Pauwels, Mauro Dalla Mura, Jocelyn Chanussot. Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, CA, United States. 〈hal-01356161〉

From local to global unmixing of hyperspectral images to reveal spectral variability

Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot. From local to global unmixing of hyperspectral images to reveal spectral variability. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, CA, United States. 2016, WHISPERS 2016. 〈http://www.ieee-whispers.com/〉. 〈hal-01356156〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal