Extracting cloud motion from satellite image sequences

Author

Brad, Remus ; LETIA, Loan Alfred

Author_Institution

Dept. of Comput. Sci., Lucian Blaga Univ. of Sibiu, Romania

Volume

3

fYear

2002

fDate

2-5 Dec. 2002

Firstpage

1303

Abstract

This paper present a new technique for the estimation of cloud motion, using a sequence of infrared satellite images. It can be considered a challenging task due to the complexity of phenomena implied, as non-linear events and a non-rigid motion. In this circumstances most motion models are not suitable and new algorithms have to be developed. We propose a novel method, combining an Automatic Multilevel Thresholding for image segmentation, a Block Matching Algorithm (BMA) and a best candidate block search along with a vector median regularization.

Keywords

artificial satellites; clouds; feature extraction; image matching; image segmentation; image sequences; motion estimation; vectors; automatic multilevel thresholding; block matching algorithm; cloud motion estimation; cloud motion extraction; image segmentation; infrared satellite images; nonlinear events; nonrigid motion; satellite image sequences; vector median regularization; Clouds; Computer science; Deformable models; Image analysis; Image segmentation; Image sequences; Infrared imaging; Meteorology; Motion estimation; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on

Print_ISBN

981-04-8364-3

Type

conf

DOI

10.1109/ICARCV.2002.1234961

Filename

1234961