A new cloud detection algorithm for NOAA AVHRR imagery

Author

Lee, Woo-Hyoung ; Kudoh, Jun-ichi ; Makino, Shozo

Author_Institution

Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan

Volume

1

fYear

1999

fDate

1999

Firstpage

170

Abstract

For environmental monitoring of Earth´s surface, one of the major problems is a detection of cloud-contaminated pixels. This paper describes a new automatic cloud detection algorithm. The method combines a threshold method using a local area parameter and clustering procedure. It has been successfully tested using AVHRR data of the Far East region which contains a mixture of land and ocean. Also, N-Land database results obtained with this scheme compared favorably with those obtained with the Saunders and Kriebel (1988) algorithm, which is one of the standard cloud detection procedures

Keywords

atmospheric techniques; clouds; geophysical signal processing; image recognition; pattern clustering; remote sensing; AVHRR data; Far East; N-Land database results; NOAA AVHRR imagery; automatic cloud detection algorithm; cloud-contaminated pixel; clustering procedure; environmental monitoring; local area parameter; threshold method; Clouds; Detection algorithms; Earth; Land surface; Remote sensing; Satellite broadcasting; Sea surface; Spatial resolution; Surface waves; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818377

Filename

818377