Title :
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
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;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818377
