Team Ariana

Members
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Bibliography

Publications of the year

Doctoral dissertations and Habilitation theses

[1]
G. Perrin.
Etude du couvert forestier par processus ponctuels marqués, Ph. D. Thesis, université de Nice - Sophia Antipolis, October 2006
http://www-sop.inria.fr/ariana/personnel/Guillaume.Perrin/DOWNLOADS/these_perrin_2006.pdf.

Articles in refereed journals and book chapters

[2]
A. Achim, E. Kuruoglu, J. Zerubia.
SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model, in: IEEE Trans. on Image Processing, September 2006, vol. 15, no 9, p. 2686-2693.
[3]
G. Aubert, L. Blanc-Féraud, R. March.
An approximation of the Mumford-Shah energy by a family of dicrete edge-preserving functionals, in: Nonlinear Analysis, 2006, vol. 64, p. 1908-1930
ftp://ftp-sop.inria.fr/ariana/Articles/2006_laure-na05.pdf.
[4]
X. Descombes, E. Pechersky.
Wulff Shapes at Zero Temperature for Some Models Used in Image Processing, in: Statistics and Analysis of Shapes, H. Krim, A. Yezzi (editors), Birkhauser, 2006, p. 281-302
ftp://ftp-sop.inria.fr/ariana/Articles/2006_DesPechBook.pdf.
[5]
N. Dey, L. Blanc-Féraud, C. Zimmer, Z. Kam, P. Roux, J. Olivo-Marin, J. Zerubia.
Richardson-Lucy Algorithm with Total Variation Regularization for 3D Confocal Microscope Deconvolution, in: Microscopy Research Technique, 2006, vol. 69, p. 260-266.
[6]
A. Jalobeanu, J. Zerubia, L. Blanc-Féraud.
Bayesian estimation of blur and noise in remote sensing imaging, in: Blind image deconvolution: theory and applications, P. Campisi, K. Egiazarian (editors), CRC Press, 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_jalo2006.pdf.
[7]
F. Lafarge, X. Descombes, J. Zerubia, S. Mathieu.
Détection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques, in: Traitement du Signal, To appear, 2006.
[8]
S. Le Hégarat-Mascle, A. Kallel, X. Descombes.
Ant Colony Optimization for Image Regularization based on a Non-Stationary Markov Modeling, in: IEEE. Trans. on Image Processing, To appear, 2006.
[9]
G. Moser, J. Zerubia, S. Serpico.
Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation, in: IEEE Trans. Geoscience and Remote Sensing, January 2006, vol. 44, no 1, p. 188-200
http://ieeexplore.ieee.org/iel5/36/33204/01564408.pdf?tp=&arnumber=1564408&isnumber=33204.
[10]
G. Moser, J. Zerubia, S. Serpico.
SAR amplitude probability density function estimation based on a generalized Gaussian model, in: IEEE Trans. on Image Processing, June 2006, vol. 15, no 6, p. 1429-1442.
[11]
M. Ortner, X. Descombes, J. Zerubia.
Building Outline Extraction from Digital Elevation Models using Marked Point Processes, in: International Journal of Computer Vision, on line in October, 2006.
[12]
H. Permuter, J. Francos, I. Jermyn.
A study of Gaussian mixture models of colour and texture features for image classification and segmentation, in: Pattern Recognition, April 2006, vol. 39, no 4, p. 695–706
ftp://ftp-sop.inria.fr/ariana/Articles/2006_permuter_pr06.pdf.
[13]
M. Rochery, I. Jermyn, J. Zerubia.
Higher Order Active Contours, in: International Journal of Computer Vision, August 2006, vol. 69, no 1, p. 27–42
ftp://ftp-sop.inria.fr/ariana/Articles/2006_mr_ijcv_06.pdf.
[14]
B. Zhang, J. Olivo-Marin, J. Zerubia.
Gaussian approximation of fluorescence miscrosope PSF models, in: Applied Optics, to appear, 2006.

Publications in Conferences and Workshops

[15]
J. Aubray, I. Jermyn, J. Zerubia.
Nonlinear models for the statistics of adaptive wavelet packet coefficients of texture, in: Proc. European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_aubray_eusipco06.pdf.
[16]
A. Bhattacharya, I. Jermyn, X. Descombes, J. Zerubia.
Computing Statistics from the Graph Representation of Road Networks in Satellite Images for Indexing and Retrieval, in: Proc. compImage, Coimbra, Portugal, October 2006.
[17]
M. Eriksson, G. Perrin, X. Descombes, J. Zerubia.
A comparative study of three methods for identifying individual tree crowns in aerial images covering different types of forests, in: Proc. International Society for Photogrammetry and Remote Sensing (ISPRS), Marne La Vallee, France, July 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_eriksson06a.pdf.
[18]
P. Gernez, X. Descombes, J. Zerubia, E. Slezak, A. Bijaoui.
Galaxy filament detection using the Quality candy model, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_gernez06.pdf.
[19]
P. Horvath, I. Jermyn, Z. Kato, J. Zerubia.
A Higher-Order Active Contour Model for Tree Detection, in: Proc. International Conference on Pattern Recognition (ICPR), Hong Kong, August 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_horvath_icpr06.pdf.
[20]
P. Horvath, I. Jermyn, Z. Kato, J. Zerubia.
An improved 'gas of circles' higher-order active contour model and its application to tree crown extraction, in: Proc. Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), Madurai, India, December 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_Horvath06_icvgip.pdf.
[21]
F. Lafarge, X. Descombes, J. Zerubia, M. Pierrot-Deseilligny.
An Automatic 3D City Model : a Bayesian Approach using Satellite Images, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_florenticassp06.pdf.
[22]
F. Lafarge, X. Descombes, J. Zerubia, M. Pierrot-Deseilligny.
An Automatic Building Reconstruction Method : A Structural Approach Using High Resolution Images, in: Proc. IEEE International Conference on Image Processing (ICIP), Atlanta, USA, October 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_lafarge_icip06.pdf.
[23]
F. Lafarge, X. Descombes, J. Zerubia, M. Pierrot-Deseilligny.
Automatic 3D Building Reconstruction from DEMs: an Application to PLEIADES Simulations, in: Proc. International Society for Photogrammetry and Remote Sensing Commission I Symposium (ISPRS), Marne La Vallee, France, July 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_lafarge_isprs06.pdf.
[24]
M. Ortner, X. Descombes, J. Zerubia.
Point process of segments and rectangles for building extraction from DEM, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_ortner06.pdf.
[25]
G. Perrin, X. Descombes, J. Zerubia, J. Boureau.
Forest Resource Assessment using Stochastic Geometry, in: Proc. International Precision Forestry Symposium, Stellenbosch University, South Africa, March 2006
ftp://ftp-sop.inria.fr/ariana/Articles/perrin_ipfs06.pdf.
[26]
G. Perrin, X. Descombes, J. Zerubia.
2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes, in: Proc. International Conference on Pattern Recognition (ICPR), Hong-Kong, August 2006
ftp://ftp-sop.inria.fr/ariana/Articles/2006_perrin_06_c.pdf.
[27]
G. Perrin, X. Descombes, J. Zerubia.
Evaluation des Ressources Forestières à l'aide de Processus Ponctuels Marqués, in: Proc. Reconnaissance des Formes et Intelligence Artificielle (RFIA), Tours, France, January 2006
ftp://ftp-sop.inria.fr/ariana/Articles/perrin_rfia06.pdf.
[28]
P. Weiss, L. Blanc-Féraud, G. Aubert.
Some applications of Im1 $L^\#8734 $ norms in image processing, in: Conference Mahematics and Image Analysis (MIA), Paris, France, 2006.
[29]
O. Zammit, X. Descombes, J. Zerubia.
Burnt area mapping using Support Vector Machines, in: Proc. International Conference on Forest Fire Research, Figueria da Foz, Portugal, October 2006.
[30]
B. Zhang, J. Zerubia, J. Olivo-Marin.
A study of Gaussian approximations of fluorescence microscopy PSF models, in: Proc. SPIE International Symposium on Biomedical Optics, San Jose, USA, January 2006.

Internal Reports

[31]
X. Descombes, E. Pechersky.
Tree Crown Extraction using a Three States Markov Random Field, Research Report, INRIA, France, September 2006, no 5982
http://hal.inria.fr/inria-00097555.
[32]
P. Horvath, I. Jermyn, Z. Kato, J. Zerubia.
A higher-order active contour model of a `gas of circles' and its application to tree crown extraction, Research Report, INRIA, France, November 2006, no 6026
http://hal.inria.fr/inria-00115631.
[33]
F. Lafarge, J. Descombes, M. Pierrot-Deseilligny.
A structural approach for 3D building reconstruction, Research Report, INRIA, France, November 2006, no 6048
http://hal.inria.fr/inria-00114338.
[34]
F. Lafarge, P. Trontin, X. Descombes, J. Zerubia, M. Pierrot-Deseilligny.
An automatic building extraction method : Application to the 3D-city modeling, Research Report, INRIA, France, France, May 2006, no 5925
http://hal.inria.fr/inria-00077117.
[35]
G. Perrin, X. Descombes, J. Zerubia.
A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes, Research Report, INRIA, France, February 2006, no 5846
http://hal.inria.fr/inria-00070180.
[36]
G. Scarpa, M. Haindl, J. Zerubia.
Hierarchical finite-state modeling for texture segmentation with application to forest classification, Research Report, INRIA, France, INRIA, France, December 2006, no 6066
https://hal.inria.fr/inria-00118420.

References in notes

[37]
G. Sommer, K. Daniilidis, J. Pauli (editors)
Computer Analysis of Images and Patterns, 7th International Conference, CAIP'97, Kiel, Germany, September 10-12, 1997, Proceedings, Lecture Notes in Computer Science, Springer, 1997, vol. 1296.
[38]
K. Brady, I. Jermyn, J. Zerubia.
Texture Analysis: An Adaptive Probabilistic Approach, in: Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
[39]
M. Erikson.
Segmentation and Classification of Individual Tree Crowns, Ph. D. Thesis, Swedish University of Agricultural Sciences, Uppsala, Sweden, 2004.
[40]
F. G. Meyer, R. R. Coifman.
Brushlets: Steerable Wavelet Packets, in: Beyond Wavelets, G. V. Welland (editor), Computational Mathematics, Elsevier Science, July 2003, vol. 10, chap. 3, p. 61–82.
[41]
M. Rochery, I. Jermyn, J. Zerubia.
Phase field models and higher-order active contours, in: Proc. IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005
ftp://ftp-sop.inria.fr/ariana/Articles/rochery_iccv05.pdf.
[42]
R. Wiemker.
An Iterative Spectral-Spatial Bayesian Labeling Approach for Unsupervised Robust Change Detection on Remotely Sensed Multispectral Imagery., in: CAIP, G. Sommer, K. Daniilidis, J. Pauli (editors), Lecture Notes in Computer Science, Springer, 1997, vol. 1296, p. 263-270.

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