Cloud tracking using ordinal measures and relaxation labelling

Author

Evans, Adrian N.

Author_Institution

Dept. of Electron. & Electr. Eng., Bath Univ., UK

Volume

2

fYear

1999

fDate

1999

Firstpage

1259

Abstract

Ordinal measures, based on the relative order of intensity values within window, provide a robust method for finding correspondences between non-ideal images. However, for medium sized windows their discriminatory power is low. To overcome this problem, they can be applied within a correlation-relaxation labelling framework. The advantages of this approach are demonstrated in application to cloud tracking in a sequence of Meteosat infrared images

Keywords

atmospheric techniques; clouds; geophysical signal processing; image processing; image sequences; remote sensing; Meteosat infrared image; atmosphere; cloud tracking; correlation-relaxation label; image processing; image sequence; intensity values within window; measurement technique; medium sized windows; meteorology; optical imaging; ordinal measure; ordinal measures; relative order; relaxation labelling; remote sensing; robust method; Clouds; Distortion measurement; Infrared imaging; Labeling; Motion estimation; Noise generators; Noise measurement; Noise robustness; Pixel; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.774597

Filename

774597