Motion-based segmentation and tracking of dynamic radar clutters

Author

Barbaresco, F. ; Bonney, S. ; Lambert, J. ; Monnier, B.

Author_Institution

Radar Dev./Algorithms & New Concepts Dept., Thomson-CSF Airsys, Bagneux, France

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

923

Abstract

The aim of this study is to perform a classification and a short term spatial estimation of radar clutter. Motion-based segmentation allows one to part clutter into two sets: the static ones and the dynamic ones. A spatial segmentation can then be processed, using Doppler data, in order to obtain homogeneous clutter. The dynamic clutter can be tracked by means of adaptive algorithms based on new techniques such as active contours, front propagation combined with Kalman filtering and motion estimation. The efficiency of our methods is demonstrated on atmospheric clutter in meteorological radar images

Keywords

Doppler effect; Kalman filters; adaptive signal processing; filtering theory; image classification; image resolution; image segmentation; meteorological radar; motion estimation; radar applications; radar clutter; radar tracking; Doppler data; Kalman filtering; active contours; adaptive algorithms; atmospheric clutter; dynamic radar clutter; efficiency; front propagation; homogeneous clutter; meteorological radar images; motion based segmentation; motion based tracking; motion estimation; radar clutter classification; short term spatial estimation; spatial segmentation; static clutter; Active contours; Electronic mail; Filtering; Image segmentation; Kalman filters; Meteorological radar; Motion estimation; Radar clutter; Radar imaging; Radar tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560944

Filename

560944