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

Dynamic Multi-Scale Segmentation of Remote Sensing Images based on Convolutional Networks

Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, Jefersson Alex Dos Santos. Dynamic Multi-Scale Segmentation of Remote Sensing Images based on Convolutional Networks. 2018. 〈hal-01961078〉

Snow Cover Estimation From Image Time Series Based on Spectral Unmixing

Théo Masson, Mauro Dalla Mura, Marie Dumont, Jocelyn Chanussot. Snow Cover Estimation From Image Time Series Based on Spectral Unmixing. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2018, pp.1-5. 〈hal-01960797〉

Image fusion and reconstruction of compressed data: A joint approach

Daniele Picone, Laurent Condat, Florian Cotte, Mauro Dalla Mura. Image fusion and reconstruction of compressed data: A joint approach. IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. 〈hal-01851515〉

Hyperspectral Imagery for Environmental Urban Planning

Christiane Weber, Thomas Houet, Sébastien Gadal, Rahim Aguejdad, Grzegorz Skupinski, et al.. Hyperspectral Imagery for Environmental Urban Planning. [Research Report] CNRS UMR TETIS, ESPACE, LETG, ONERA, GIPSA-lab, IRAP, IGN. 2018. 〈hal-01930658〉

Automatic Classification of Volcano Seismic Signatures

Marielle Malfante, Mauro Dalla Mura, Jerome Mars, Jean-Philippe Métaxian, Orlando Macedo, et al.. Automatic Classification of Volcano Seismic Signatures. Journal of Geophysical Research, American Geophysical Union, 2018, 〈10.1029/2018jb015470〉. 〈hal-01949302〉

Analysis of masks for compressed acquisitions in variational-based pansharpening

Daniele Picone, Laurent Condat, Mauro Dalla Mura. Analysis of masks for compressed acquisitions in variational-based pansharpening. International Workshop on Compressed Sensing applied to Radar, Multimodal Sensing, and Imaging (CoSeRa), Sep 2018, Siegen, Germany. 〈hal-01851407〉

A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function

Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot. A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2018, 27 (9), pp.4330-4344. 〈10.1109/TIP.2018.2839531〉. 〈hal-01960721〉

Spatial Resolution Enhancement of Optical Images Based on Tensor Decomposition

Kuniaki Uto, Mauro Dalla Mura, Jocelyn Chanussot. Spatial Resolution Enhancement of Optical Images Based on Tensor Decomposition. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. 〈10.1109/IGARSS.2018.8518769〉. 〈hal-01960834〉

Some issues in computing the CP decomposition of NonNegative Tensors

Mohamad Jouni, Mauro Dalla Mura, Pierre Comon. Some issues in computing the CP decomposition of NonNegative Tensors. Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward. 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), Jul 2018, Guildford, United Kingdom. Springer, Lecture Notes in Computer Science, 10891, pp.57-66, Latent Variable Analysis and Signal Separation. 〈10.1007/978-3-319-93764-9_6〉. 〈hal-0178

Use of deep features for the automatic classification of fish sounds

Marielle Malfante, Omar Mohammed, Cedric Gervaise, Mauro Dalla Mura, Jerome Mars. Use of deep features for the automatic classification of fish sounds. OCEANS'18 MTS/IEEE, May 2018, Kobe, Japan. 〈hal-01802551〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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