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Advanced Data Assimilation for GeosciencesLecture Notes of the Les Houches School of Physics: Special Issue, June 2012$
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Éric Blayo, Marc Bocquet, Emmanuel Cosme, and Leticia F. Cugliandolo

Print publication date: 2014

Print ISBN-13: 9780198723844

Published to Oxford Scholarship Online: March 2015

DOI: 10.1093/acprof:oso/9780198723844.001.0001

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Assimilation of images

Assimilation of images

Chapter:
(p.371) 16 Assimilation of images
Source:
Advanced Data Assimilation for Geosciences
Author(s):

A. Vidard

O. Titaud

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198723844.003.0016

This chapter describes processes for direct assimilation of images. Among data available for assimilation, a significant portion can be considered as images or image sequences, i.e. structured and dense-in-space information. In meteorology, such observations are often obtained from spaceborne devices and are therefore expensive to acquire. Moreover, images contain information about system dynamics through the time evolution of a sequence or within the structures that are represented (fronts, filaments, etc.). Therefore, images are a valuable source of information. Historically, they have been assimilated by pseudo-observation, where part of the dynamical information is extracted by image processing techniques and then assimilated as conventional observations. This approach has proven quite effective, but the pre-processing renders error specification cumbersome and leads to loss of information. More recently, research has been carried out to assimilate images directly in the assimilation process; two of these proposed approaches are presented and discussed in this chapter.

Keywords:   image, direct assimilation, system dynamics, time evolution, dynamical information

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