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Dr. Gabriele
Moser
University of Genoa
Dept. of Biophysical and
Electronic Eng. (DIBE)
Via Opera Pia 11a,
I-16145, Genoa (ITALY)
Via Cadorna 7, I-17100,
Savona (ITALY; DIBE site in the Savona University
Campus)
Phone: + 39 010 353 2190, + 39
019 219 45135
Fax: +39 010 353 2134
E-mail: gabriele.moser@unige.it
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Gabriele Moser was born in Genoa, Italy, on May 26, 1977. He received
"summa cum laude" the "laurea" degree in Telecommunication Engineering
at the University of Genoa in 2001, discussing the thesis "Development
of unsupervised change detection methods for remote sensing images." He
received the Ph.D. degree in Space Sciences and Engineering at the Department of Biophysical and
Electronic Engineering (DIBE) of
the University of Genoa in 2005, defending the thesis "Advanced pattern
recognition methods for remote-sensing data analysis."
Between January and March 2004
he spent a 3-month period working in the Ariana research
group, headed by Prof.
Josiane Zerubia, at INRIA
("Institut National de Recherche en Informatique et en Automatique"),
Sophia Antipolis (France) in the context of the EU project IMAVIS and
of the “Marie Curie fellowship”.
From 2005 to 2010 he was a post-doctoral
fellow within
the IPRS team in the Signal Processing & Telecommunication
Group at DIBE. He has been cooperating with the Interuniversity Center of Research in Environmental Monitoring (CIMA) since 2004 and with the Department of Earth Sciences of the University of Florence from 2007 to 2008.
He is currently Assistant Professor of Telecommunications at the University of Genoa.
His
main research activity is
in the area of remote-sensing image processing and analysis,
specifically focusing on:
- contextual
classification of remote-sensing images;
- support vector machines and
kernel-based methods for image classification and bio/geophysical
parameter estimation from remote-sensing data;
- synthetic aperture radar data
analysis;
- multitemporal classification
and change-detection techniques for remotely sensed images;
- hyperspectral image
classification and feature reduction.
He is an Associate Editor of "IEEE Geoscience and Remote Sensing Letters" and
a reviewer for several international journals including "IEEE
Transactions on Geoscience and Remote Sensing," "IEEE Geoscience
and Remote Sensing Letters," and "Pattern Recongnition Letters." He is an IEEE, GRSS, and AEIT member.
He currently teaches the "Vector-space transformation techniques for multivariate statistical analysis" course for the Ph.D. programs in "Electronic,
Computer Science, Robotics, and Telecommunications Engineering" and
"System Monitoring and Environmental Risk Management."
Publications
- Books:
- G. Moser, "Analisi di immagini telerilevate per osservazione della Terra," ECIG, September 2007.
- Journal
papers:
- F. Melgani, G. Moser, S. B.
Serpico, “Unsupervised change detection methods for remote
sensing images”, Optical Engineering, 41(12):3288-3297, 2002.
- P. Mantero, G. Moser, S. B.
Serpico, “Partially supervised classification of remote-sensing
images through SVM-based probability density estimation”, IEEE
Trans. Geosci. Remote Sensing, 43(3):559-570, 2005.
- G. Moser, J. Zerubia, S. B.
Serpico, “Dictionary-based stochastic expectation-maximization
for SAR amplitude probability density function estimation”, IEEE
Trans. Geosci. Remote Sensing, 44(1):188-200, 2006.
- G. Moser, J. Zerubia, S. B.
Serpico, “SAR amplitude probability density function estimation
based on a generalized Gaussian model”, IEEE Trans. Image
Process., 15(6):1429-1442, 2006.
- G. Moser, S. B. Serpico,
“Generalized minimum-error thresholding for unsupervised change
detection from SAR amplitude imagery”, IEEE Trans. Geosci. Remote
Sensing, 44(10):2972-2982, 2006.
- S. B. Serpico, G. Moser,
“Weight parameter optimization by the Ho-Kashyap algorithm in MRF
models for supervised image classification”, IEEE Trans. Geosci.
Remote Sensing, 44(12):3695-3705, 2006.
- S. B. Serpico, G. Moser,
“Extraction of spectral channels from hyperspectral images for
classification purposes”, IEEE Trans. Geosci. Remote Sensing,
45(2):484-495, 2007.
- G. Moser, S. B. Serpico, G.
Vernazza, “Unsupervised change detection from multichannel SAR
images”, IEEE Geosci. Remote Sensing Letters, 4(2):278-282, 2007.
- F. Causa, G. Moser, S. B.
Serpico, “A novel MRF model for the detection of urban areas in
optical high spatial resolution images”, Rivista Italiana di
Telerilevamento, vol. 38, 2007.
- G. Mercier, G. Moser, S. B.
Serpico, “Conditional copula for change detection on
heterogeneous data”, accettato per pubblicazione in IEEE Trans.
Geosci. Remote Sensing, 46(5):1428-1441.
- G. Moser, S. B. Serpico,
“Automatic parameter optimization for support vector regression
for land and sea surface temperature estimation from remote-sensing
data”, IEEE Trans. Geosci. Remote Sensing, 47(3):909-921, 2009.
- G. Moser, S. B. Serpico,
“Unsupervised change detection from multichannel SAR data by
Markovian data fusion”, IEEE Trans. Geosci. Remote Sensing,
47(7):2114-2128, 2009.
- G. Moser, S. B. Serpico,
“Modeling the error statistics in support vector regression of
surface temperature from infrared data”, IEEE Geosci. Remote
Sensing Letters, 6(3):448-452, 2009.
- G. Forzieri, G. Moser, E. R.
Vivoni, F. Castelli, F. Canovaro, “Riparian vegetation mapping
for hydraulic roughness estimation using very high resolution remote
sensing data fusion”, ASCE Journal of Hydraulic
Engineering, 136(11): 855-867, 2010.
- V. A. Krylov,
G. Moser, S. B. Serpico, J. Zerubia, "Enhanced dictionary-based SAR
amplitude distribution estimation and its validation with very
high-resolution data," IEEE Geosci. Remote
Sensing Letters, 2010 (in print).
- Book
chapter contributions:
- G. Moser, F. Melgani, S. B.
Serpico, “Advances in unsupervised change detection”, in
Frontiers of remote sensing information processing, ed.: C. H. Chen,
World Scientific Publishing, 2003, pp. 405-426.
- G. Moser, S. B. Serpico, M.
De Martino, “Feature reduction and supervised classification
methodologies for hyperspectral image analysis”, in Analysis and
classification of remotely sensed hyperspectral Images, ed.: G.
Corsini, ETS, 2004, pp. 47-56.
- S. B. Serpico, G. Moser,
“MRF-based remote-sensing image classification with automatic
model-parameter estimation” in Signal and image processing for
remote sensing, ed.: C. H. Chen, Taylor & Francis, CRC Press, 2006,
pp. 305-326.
- S. B. Serpico, G. Moser, A.
F. Cattoni, “Feature reduction for classification purpose”
in Hyperspectral data exploitation: theory and applications, ed.: C.-I
Chang, John Wiley & Sons, 2006, pp. 245-274.
- G. Moser, S. B. Serpico,
“Unsupervised change detection from multichannel SAR data by
Markov random fields”, in Computational intelligence for remote
sensing, ed.: M. Graña, R. Duro, Springer-Verlag, 2008, pp.
363-388.
- G. Moser, S. B. Serpico,
“Land and sea surface temperature estimation by support vector
regression,” in Kernel methods for remote sensing data analysis,
ed.: G. Camps-Valls, L. Bruzzone, John Wiley & Sons., 2009 (in
print).
- G. Moser, R. Gaetano, G.
Poggi, G. Scarpa, S. B. Serpico, “Contextual classification of
multisensor optical-SAR remote sensing images,” in Handbook of
pattern recognition and computer vision, 4th ed., ed.: C.-H. Chen, 2009
(in print).
- Research
reports:
- G. Moser, J. Zerubia, S. B.
Serpico, “SAR amplitude probability density function estimation
based on a generalized Gaussian scattering model”, INRIA Research
Report no. 5153, March 2004, url: www.inria.fr/rrrt/rr-5153.html.
- G. Moser, J. Zerubia, S. B.
Serpico, “Dictionary-based stochastic expectation-maximization
for SAR amplitude probability density function estimation”, INRIA
Research Report no. 5154, March 2004, url: www.inria.fr/rrrt/rr-5154.html.
- G. Mercier, G. Moser, S. B.
Serpico, “Conditional copula for change detection on
heterogeneous data,” GET/ENST Bretagne Research Report
RR-2006004-ITI, August 2006.
- G. Moser, S. B. Serpico,
"Unsupervised change detection from multichannel SAR data by Markov
random fields”, GTTI National Meeting, Rome, Italy, 18-20 June
2007, url: www.gtti.it/GTTI07/papers/MoserSerpico_GTTI-2007_Telerilevamento.pdf.
- V. Krylov, G. Moser, S. B.
Serpico, J. Zerubia, “Modeling the statistics of high-resolution
SAR images”, INRIA Research Report no. 6722, November 2008,
url: hal.inria.fr/docs/00/35/76/27/PDF/RR-6722.pdf.
- G. Moser, E. Angiati, S. B.
Serpico, “Multiscale unsupervised change detection on optical
images based on Markov random fields and wavelets,” GTTI National
Meeting, Parma, Italy, 23-25 June 2009, url: www.gtti.it/GTTI09/files/papers/Telerilevamento/Telerilevamento_10.40_Moser.pdf.
- Conference
papers:
- F. Melgani, G. Moser, S. B.
Serpico, “Unsupervised change detection methods for remote
sensing images”, Proceedings of SPIE – Conference on Image
and Signal Processing for Remote Sensing (ISPRS) VII, Toulouse, France,
17-21 September 2001, pp. 211-222.
- G. Moser, F. Melgani, S. B.
Serpico, A. Caruso, “Partially supervised detection of changes
from remote sensing images”, Proceedings of the 2002 IEEE
Geoscience and Remote Sensing Symposium (IGARSS-2002), Toronto, Canada,
24-28 June 2002, vol. 1, pp. 299-301.
- A. Guerrero Curieses, A.
Biasiotto, S. B. Serpico, G. Moser, “Supervised classification of
remote sensing images with unknown classes”, Proc. of
IGARSS-2002, Toronto, Canada, 24-28 June 2002, vol. 6, pp. 3486-3488.
- S. B. Serpico, M.
D’Incà, F. Melgani, G. Moser, “A Comparison of
feature reduction techniques for classification of hyperspectral
remote-sensing data”, Proc. of SPIE-ISPRS VIII, Crete, Greece,
22-27 settembre 2002, pp. 347-358.
- M. De Martino, G.
Macchiavello, G. Moser, S. B. Serpico, “Partially supervised
contextual classification of multitemporal remotely sensed
images”, Proc. of IGARSS-2003, Toulouse, France, 21-25 July 2003,
vol. 2, pp. 1377-1379 (invited paper).
- P. Mantero, G. Moser, S. B.
Serpico, “SVM-based density estimation for supervised
classification of remotely sensed images with unknown classes”,
Proc. of SPIE-ISPRS IX, Barcelona, Spain, 8-12 September 2003, vol.
386-397.
- S. B. Serpico, M. Datcu, G.
Moser, S. Mansi, P. Pecciarini, “Hybrid supervised/unsupervised
multisensor fusion of remote sensing images based on hierarchical
clustering”, Proceedings of the 2003 Tyrrhenian International
Workshop on Remote Sensing, 15-18 September 2003, Isola d’Elba,
Italy, pp. 17-30 (invited paper).
- P. Mantero, G. Moser, S. B.
Serpico, “Partially supervised classification of remote sensing
images using SVM-based probability density estimation”,
Proceedings of the 2003 IEEE workshop on Advances in Techniques for
Analysis of Remotely Sensed Data (a honorary workshop for Prof. D. A.
Landgrebe), 27-28 October 2003, NASA Goddard Visitor Center, Greenbelt
MD, USA, pp. 327-336.
- G. Moser, J. Zerubia, S. B.
Serpico, “SAR amplitude probability density function estimation
based on a generalized Gaussian scattering model”, Proc. of
SPIE-ISPRS X, Maspalomas, Gran Canaria, Spain, 13-17 September 2004,
pp. 307-318.
- G. Moser, S. B. Serpico, M.
De Martino, D. Coppolino, “Automatic partially supervised
classification of multitemporal remotely sensed images”, Proc. of
SPIE-ISPRS X, Maspalomas, Gran Canaria, Spain, 13-17 September 2004,
pp. 126-137.
- G. Moser, J. Zerubia, S. B.
Serpico, “Finite mixture models and stochastic
expectation-maximization for SAR amplitude probability density function
estimation based on a dictionary of parametric families”, Proc.
of IGARSS-2004, Anchorage (USA), 20-24 September 2004, vol. 2, pp.
1510-1513.
- S. B. Serpico, M.
D’Incà, G. Moser, “Design of spectral channels for
remote sensing image classification”, Proc. of IGARSS-2004,
Anchorage (USA), 20-24 September 2004, vol. 2, pp. 956-959.
- G. Moser, S. B. Serpico,
“Generalized minimum-error thresholding for unsupervised change
detection from SAR amplitude imagery”, Proc. of IGARSS-2005,
Seoul, South Korea, 25-29 July 2005, vol. 3, pp. 2121-2124.
- G. Moser, S. B. Serpico, F.
Causa, “MRF model parameter estimation for contextual supervised
classification of remote-sensing images”, Proc. of IGARSS-2005,
Seoul, South Korea, 25-29 July 2005, vol. 8, pp. 308-311 (articolo
finalista per IGARSS 2005 Student Prize Paper Competition).
- F. Causa, G. Moser, S. B.
Serpico, “A novel MRF model for the classification of optical
high-resolution images in urban environment,” Proceedings of the
AIT-SIFET joint workshop on urban remote sensing, Mantova, Italy, 1-2
December 2005.
- G. Moser, S. B. Serpico,
“Unsupervised change detection from multichannel SAR data”,
Proceedings of the 2006 Nordic Signal Processing Symposium
(NORSIG-2006), Reykjavík, Iceland, 7-9 June 2006, pp. 246-249.
- A. Nappo, J. A. Benediktsson,
S. B. Serpico, S. R. Joelsson, G. Moser, R. A. Karlsson, G. H.
Halldorsson, S. H. Hardarson, E. Stefansson, “Unsupervised change
detection in color fundus images of the human retina”, Proc. of
NORSIG-2006, Reykjavík, Iceland, 7-9 June 2006, pp. 134-137.
- M. Zortea, M. De Martino, G.
Moser, S. B. Serpico, “Land surface temperature estimation from
infrared satellite data using support vector machines,” Proc. of
IGARSS-2006, Denver, USA, 31 July - 4 August 2006, pp. 2109-2112.
- F. Causa, G. Moser, S. B.
Serpico, “A spatio-spectral data fusion method for the detection
of urban areas in optical high resolution Images by a novel MRF
model,” Proc. of IGARSS-2006, Denver, USA, 31 July - 4 August
2006, pp. 2502-2505.
- L. Cannavacciuolo, W. Emery,
G. Moser, S. B. Serpico, “A contextual change detection method
for high-resolution optical images of urban areas”, Proceedings
of the 2007 Urban Remote Sensing Joint Event, 11-13 April 2007, Paris,
France.
- G. Macchiavello, G. Boni, G.
Moser, S. B. Serpico, “Unsupervised identification of snow
covered areas by decision tree classifier”, EGU General Assembly
2007, 15-20 April 2007, Vien, Austria, Geophysical Research Abstracts,
vol. 9, 06955, 2007.
- G. Moser, S. B. Serpico,
“Unsupervised change detection by multichannel SAR data
fusion”, Proc. of IGARSS-2007, Barcelona, Spain, 23-27 July 2007,
pp. 4854-4857.
- G. Mercier, G. Moser, S. B.
Serpico, “Conditional copula for change detection on
heterogeneous SAR data”, Proc. of IGARSS-2007, Barcelona, Spain,
23-27 July 2007, pp. 2394-2397.
- P. Li, T. Cheng, G. Moser, S.
B. Serpico, D. Ma, “Multitemporal change detection by spectral
and multivariate texture information”, Proc. of IGARSS-2007,
Barcelona, Spain, 23-27 July 2007, pp. 1922-1925.
- G. Moser, S. B. Serpico,
“Automatic land and sea surface temperature estimation from
remote sensing data”, Proc. of SPIE-ISPRS XIII, Florence, Italy,
17-20 September 2007.
- E. Angiati, G. Moser, S. B.
Serpico, “Multiscale unsupervised change detection by Markov
random fields and wavelet transforms”, Proc. of SPIE-ISPRS XIII,
Florence, Italy, 17-20 September 2007.
- M. Zortea, G. Moser, S. B.
Serpico, “Investigation of an ensemble framework for
classification of hyperspectral remote sensing data with nearly equal
spectral response classes”, Proc. of SPIE-ISPRS XIII, Florence,
Italy, 17-20 September 2007.
- G. Moser, S. B. Serpico,
“Modelling the error statistics in support vector regression of
surface temperature from infrared data,” Proc. of IGARSS-2008,
6-11 July 2008, Boston, (MA, USA), pp. III.1115-III.1118.
- R. Gaetano, G. Moser, G.
Poggi, G. Scarpa, S. B. Serpico, "Region-based classification of
multisensor optical-SAR images," Proc. of IGARSS-2008, 6-11 July 2008,
Boston, (MA, USA), pp. IV.81-IV.84.
- G. Moser, S. B. Serpico,
"Classification of high-resolution images based on MRF fusion and
multiscale segmentation," Proc. of IGARSS-2008, 6-11 July 2008, Boston,
(MA, USA), pp. II.277-II.280.
- M. Aragone, A. Caridi, S. B.
Serpico, G. Moser, D. Cerra, M. Datcu, “Study of information
content of SAR images”, Proceedings of the 2008 IEEE Radar
Conference (RadarCon-2008), 26-30 May 2008, Rome, Italy, pp. 1-6.
- G. Troglio, J. A.
Benediktsson, S. B. Serpico, G. Moser, R. A. Karlsson, G. H.
Halldorsson, E. Stefansson, “Automatic registration of retina
images based on genetic techniques”, Proceedings of the 30th
Annual International Conference of the IEEE Engineering in Medicine and
Biology Society (EMBS-2008), 20-24 August 2008, Vancouver, Canada, pp.
5419-5424.
- G. Troglio, J. Le Moigne, G.
Moser, S. B. Serpico, J. A. Benediktsson, “Automatic extraction
of planetary image features”, Proceedings of the 3rd IEEE
International Conference on Space Mission Challenges for Information
Technology (SMC-IT), 19-23 July 2009, Pasadena (CA, USA; in print).
- V. Krylov, G. Moser, S. B.
Serpico, J. Zerubia, “Dictionary-based probability density
function estimation for high-resolution SAR data”, Proceedings of
SPIE – Computational Imaging VII at the SPIE Electronic Imaging
2009 (EI09) Symposium, 18-22 January 2009, San Josè (CA, USA).
- G. Moser, S. B. Serpico,
“Edge-preserving classification of high-resolution remote-sensing
images by Markovian data fusion,” Proc. of IGARSS-2009, 12-17
July 2009, Cape Town, South Africa (in print).
- G. Macchiavello, G. Moser, G.
Boni, S. B. Serpico, “Automatic unsupervised classification of
snow-covered areas by decision-tree classification and minimum-error
thresholding,” Proc. of IGARSS-2009, 12-17 July 2009, Cape Town,
South Africa (in print).
- A. Robin, G. Mercier, G.
Moser, S. B. Serpico, “An a-contrario approach for unsupervised
change detection in radar images,” Proc. of IGARSS-2009, 12-17
July 2009, Cape Town, South Africa (in print).
- G. Moser, V. Krylov, S. B.
Serpico, J. Zerubia, “High-resolution SAR-image classification by
Markov random fields and finite mixtures”, Proceedings of SPIE
– Computational Imaging VIII at the SPIE Electronic Imaging 2010
(EI10) Symposium, 18-19 January 2010, San Josè (CA, USA; in
print).
- Theses:
- G. Moser, “Development
of unsupervised change detection methods for remote sensing
images”, “laurea” thesis in Telecommunications
Engineering, tutor: Prof. S. B. Serpico, cotutor: Dr. F. Melgani, 2001.
- G. Moser, “Advanced
pattern-recognition methods for remote-sensing data analysis”,
Ph.D. thesis in Space Science and Engineering, tutor: Prof. S. B.
Serpico, Ph.D. program coordinator: Prof. S. Cincotti, 2005, url: cucciolo.dibe.unige.it/IPRS/phd/MoserPhD.pdf.
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