Destriping MODIS Data based on Surface Spectral Correlation

Because of a series of complex environmental and instrumental effects, there are strip-pattern noises in images of many bands of MODIS, especially in that of Band 5. Several destriping algorithms have been used to remove the strips in MODIS images, but since they could not properly take account of physical or spectral relevance maintained in the data, the destriping results are hardly ideal. A new algorithm is proposed for the removal of strips in Band 5 images. It can locate the strips accurately so as to retain as much original information of the image as possible. Additionally, the new algorithm makes full use of the spectral correlation of multi-band remote sensed data, and can reconstruct the Band 5 value of strip-pixels based on appropriate interpolation. The validation and comparison with other algorithms indicate that, this new algorithm could remove strips perfectly and the reconstructed values have a small deviation of about 3% from the "true values".