Stripe noise removal method for MODIS remote sensing imagery

Abstract

Stripe noise seriously influences the quality of remote sensing imagery, an effective method for removing stripe noise in MODIS (Moderate Resolution Imaging Spectroradiometer) imagery is proposed in this paper. The proposed method mainly considers the scanning characteristic of multi-detectors in MODIS. Utilizing the high correlation between detector subimages to predict the new detector subimages, then use these new detector subimages to compose the destriped image. Experimental results prove the proposed method is superior to present destriping methods, which can remove stripe noise well and preserve most information of original image. The proposed method is also applicable in stripe noise removal of other multi-detectors remote sensing imagery.