VIRR image cloud detection based on image enhancement and comprehensive decision-making
QI Xiudong
YUE Jibo
Abstract：To make full use of each VIRR band image,improving VIRR cloud detection effect,the cloud detection algorithm is studied based on confidence level of the sunny pixel.First,all kinds of remote sensing image of FY-3-VIRR multispectral data are enhanced by NDVI,RVI,NDWI,the water pixels are extracted,and image contrast is enhanced between the cloud pixel and the features pixel.Second,confidence level of the sunny pixel is determined,through the distribution of all kinds of pixels of each kind of enhanced images or single band images.Finally,a comprehensive decision was made,according to sunny pixels confidence level,the cloud mask is generated.By Compared with two kinds of results,the result of this method is better than that of directly using spectral information for cloud detection method.
Keywords：VIRRcloud detectionconfidence levelcloud mask
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 802-809 )