Caroline
Lacoste
How to contact me ?
Research
Resume |
Ma page en francais
|
PhD
subject:
Extraction
of Line Networks in Remote Sensing by Markov Object Process.
With
a view to cartographic update assistance, we aim to extract line
objects from satellite and aerial images. The sought-after
cartographic
item consists of the different line networks such as hydrographic
network,
road network or subsurface network. This study is realized with the
collaboration
of French Geological Survey - BRGM, in french - (Nicolas Baghdadi,
Chritine
King). The treated sites will be chosen in connection with its main
projects
(SIG Africa: sites in equatorial Africa such as Guinea, on which optic
imagery alone could not answer to cartographic preoccupations, and in
Middle
East where long wave radar data may provide subsurface
information,
as for instance in Egypt). The BRGM has large image data base on
these sites as well as validation data.
The
approach is to build a Markov object process in order to model
the
road network present in the image. Indeed, these recently developed
models
provide the same type of stochastic properties as those of Markov
fields,
while incorporating strong geometric constraints. These models allow to
manipulate geometric objects, simple but generic due to
characterization
by variable parameters. Interactions between objects are taken
into
account in the density of the process, which allows to incorporate
constraints
on the network topology, such as continuity or slight curvature. Data
properties
are taken into account in the density of the process through a data
term
based on statistical tests. Optimization is realized by simulated
annealing
using a RJMCMC algorithm.
Publications:
-
Articles in journals
- C. Lacoste, X. Descombes, J. Zerubia, N. Baghdadi. Extraction
automatique
des réseaux linéiques à partir d'images
satellitaires
et aériennes par processus Markov objet. Bulletin de la
SFPT
No. 170 (2003-2) pp. 13-22.
-
Proceedings conferences
-
C. Lacoste, X. Descombes, J. Zerubia, N. Baghdadi. Unsupervised
line network extraction from remotely sensed images by polyline
process.
EUSIPCO'04,
Vienna, Austria, September 2004.
-
X. Descombes, F. Kruggel, C. Lacoste, M. Ortner, G. Perrin, J. Zerubia.
Marked
point process in image analysis : from context to geometry. Proceedings
of International Conference on Spatial Point Process Modelling and its
Application (SPPA),
Castellon,
Espagne, April 2004.
-
C. Lacoste, X. Descombes, J. Zerubia, N. Baghdadi. A
Bayesian geometric model for line network extraction from satellite
images
(Copyright IEEE).
ICASSP'04,
Montreal, Quebec, Canada, May 2004.
-
C. Lacoste, X. Descombes, J. Zerubia. Road
network
extraction in remote sensing by a Markov Object process
(Copyright IEEE). ICIP'03,
Barcelona,
Spain, September 2003.
-
C. Lacoste, X. Descombes, J. Zerubia, N. Baghdadi. Extraction de
réseaux
linéiques à partir d'images satellitaires par processus
Markov
objet. GRETSI'03,
Paris, France, September 2003.
-
C. Lacoste, R. Fablet, P. Bouthemy, Y.-F. Yao. Création de
résumés
de vidéos par une approche statistique. RFIA'02,
Angers, France, January 2002.
-
Research reports
Communications:
-
A comparative study of point processes for
line
network extraction from images. Mini-Symposium in Stochastic
Geometry,
CWI, Amsterdam, The The Netherlands, May 2002.
-
Extraction du réseau
linéique en
télédétection par Processsus Markov Objet. BRGM,
Orléan, France, October 2002.
-
Extraction du Réseau
Linéique en
Télédétection par Processsus Markov Objet, Symposium
Ariana - Mistral: ``Stratégies stochastiques d'exploration
d'état
appliquées au traitement d'image et à la
modélisation
de réseaux, INRIA Sophia-Antipolis, France, May 2003.
-
Line network extraction in remote sensing
by spatial
processes. Symposium DLR-Ariana , DLR, Oberpfaffenoffen,
Germany,
November 2003.
-
CAROLINE: a CARtographic Oriented LIne
Network
Extraction model. Spatial Point Process Modelling and its
Applications,
Castellon, Spain, April 2004.