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researResearch
SISE
Information systems for surveillance
of the environment
Project Leader :
Grégoire Mercier
Departments:
• Image and Information
Processing,
• Signal and Communications,
• CITI (Télécom &
Management SudParis)
Aims and objectives throughout the project
The aim of this project is to develop theoretical signal processing tools to
answer the need for operational surveillance of the environment. It implies
supplying detection maps of "concerned targets" from satellite and/or aircraft
remote sensing data : detection maps of oil spills, detection maps of change
following natural disasters, maps of changes of land use and planning. In this
context identified difficulties concern the processing of heterogeneous data
from various sensors (multispectral or hyperspectral optic imaging, thermal,
radar imaging) or from identical sensors of different modalities (geometric
acquisition, wavelength, polarisation, resolution…)
Project team:
René Garello,
Grégoire Mercier,
Dominique Pastor,
Wojciech Pieczynski
(Télécom & Management
SudParis/CITI),
Jordi Inglada (CNES),
Bassam Abdel Latif,
Marc Lennon (SAS Actimar),
Abdourrahmane
Mahamane Atto,
Amandine Robin.
In 2008, as planned, the developments followed mainly two axes:
1- an axis dedicated to abrupt changes, which represents the main contractual
activity notably in collaboration to the CNES. But it also benefited from the
CARNOT project (superTemp) thanks to which a post-doctorate student
carried out, in 2008, theoretical research into the indicators of change, mainly
by using a non-parametric model of signal in a sparse representation.
2- An axis, dedicated to the joint processing of heterogeneous data, where
parametric and non-parametric materials were proposed. The first is only
applicable to the detection of change between two observations and then are
involved in Major Disaster context. The latter can be applied to time series of
observations dedicated to the detection of progressive changes.
Emerging activities appeared in 2008 within the SISE project. Notably the
characterisation of high resolution multi-component signals (for instance
polarimetric radar or hyperspectral signal characterisation). On this topic the
actual bibliography concerns only panchromatic signal processing.
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