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Proceedings Paper

Texture-based cloud detection in MODIS images
Author(s): Ramon E. Vasquez; Vidya B. Manian
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Paper Abstract

Statistical and spatial features are computed to detect clouds from MODIS Terra images. The presence of cirrus clouds is specifically studied. 1.38 μm band of MODIS is used. Cirrrus clouds that do not appear in visible imagery can be detected in this band. Although clouds appear to be uniform, they exhibit a texture pattern. This is evident from the texture measures computed for cloud pixels. Therefore, a supervised classification procedure that makes use of texture features is adopted. Second order gray level features, spectral features, wavelet features are computed. The non-cloud pixels and cloud pixels are identified, followed by classification of the cloud pixels. A comparison of the ability of the features is presented. To show the advantage of texture classification, the classified results are compared with results of cloud pixel identification from thresholding of pixel values. Images obtained from the MODIS sensor over the Caribbean region is classified. Wavelet features have been found to better characterize the cloud texture in the MODIS bands 17 and higher.

Paper Details

Date Published: 18 April 2003
PDF: 9 pages
Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); doi: 10.1117/12.463042
Show Author Affiliations
Ramon E. Vasquez, Univ. of Puerto Rico/Mayaguez (United States)
Vidya B. Manian, Univ. of Puerto Rico/Mayaguez (United States)

Published in SPIE Proceedings Vol. 4882:
Remote Sensing of Clouds and the Atmosphere VII
Klaus P. Schaefer; Olga Lado-Bordowsky; Adolfo Comeron; Richard H. Picard, Editor(s)

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