A Cloud Change Detection Algorithm in MODIS Image Based on Mask Dodging Technique

In this paper, a mask dodging processing is designed to change the character values of the cloud area and cloud shadow greatly while the normal exposure area in the image can hold these values or change little. A change detection algorithm between the original image and dodging image is proposed to get the cloud area and cloud shadow which calculate and appraisal the feature value together in the spatial field, frequency field and texture field for the precision extraction without knowing the concrete quality descending function, the cloud atmosphere aerosol property and edge model and can position and determine on the nature of the cloud area and cloud shadow position. The detection experiments of cloud area and cloud shadow in the MODIS image show the high detection precision and itpsilas superior to the accurate of classification with ERDAS software.