 |
| Titel |
Toward the assimilation of images |
| VerfasserIn |
F.-X. Le Dimet, I. Souopgui, O. Titaud, V. Shutyaev |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
2198-5634
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics Discussions ; 1, no. 2 ; Nr. 1, no. 2 (2014-08-19), S.1381-1430 |
| Datensatznummer |
250115122
|
| Publikation (Nr.) |
 copernicus.org/npgd-1-1381-2014.pdf |
|
|
|
|
|
| Zusammenfassung |
| The equations that govern geophysical fluids (namely atmosphere,
ocean and rivers) are well known but their use for prediction
requires the knowledge of the initial condition. In many practical
cases, this initial condition is poorly known and the use of an
imprecise initial guess is not sufficient to perform accurate
forecasts because of the high sensitivity of these systems to small
perturbations. As every situation is unique, the only additional
information than can help to retrieve the initial condition are
observations and statistics. The set of methods that combine these
sources of heterogeneous information to construct such an initial
condition are referred to as data assimilation. More and more images
and sequences of images, of increasing resolution, are produced for
scientific or technical studies. This is particularly true in the
case of geophysical fluids that are permanently observed by remote
sensors. However, the structured information contained in images or
image sequences is not assimilated as regular observations: images
are still (under)utilized to produce qualitative analysis
by experts. This paper deals with the quantitative
assimilation of information provided in an image form into
a numerical model of a dynamical system. We describe several
possibilities for such assimilation and identify associated
difficulties. Results from our ongoing research are used to
illustrate the methods. The assimilation of image is a very general
framework that can be transposed in several scientific domains. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|