Atmospheric Disturbances Tracking in Satellite Images View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1983

AUTHORS

P. Bouthemy , A. Benveniste

ABSTRACT

In this paper, we propose an extraction method of some features, which describe dynamic properties of atmospheric disturbances. We identify a disturbance in a satellite image by means of a spirals model, knowing that the luminance model is constant levels plus noise. Thus, we define a class-conditional log-likelihood functional, what leads to a least-squares procedure. We compute the estimation of the shape change and motion parameters with a gradient algorithm. Such a processing could be an aid in interactive treatments and in the cloud archives development. More... »

PAGES

580-593

Book

TITLE

Image Sequence Processing and Dynamic Scene Analysis

ISBN

978-3-642-81937-7
978-3-642-81935-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-81935-3_32

DOI

http://dx.doi.org/10.1007/978-3-642-81935-3_32

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017923694


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