Abstract
Stripe noise is one of the most important factors, which influence the qualities of MODIS 1B images. In this paper, the main causes and the characteristics of the stripe noises in MODIS 1B images are deeply analyzed. To remove the stripe noises, three kinds of algorithms, the improved Fourier Transform, Wavelet Transform and the Interpolation Algorithm, are developed based on the above analysis. On academic level, the abilities to remove the stripe noises and their limitations are compared. Analyzed from the processed results, the three kinds of algorithms can more or less remove the stripe noises in MODIS 1B images, but have great differences among them: the improved Fourier Transform has more influences on non-noises region than the other two and the Interpolation Algorithm has the less negative influences on MODIS 1B images in removing the stripe noises. Based on the comparation of the mean value, standard deviation and the edge information of the images processed by above three kinds of algorithms, the conclusion that in removing the MODIS stripe noises, the improved Interpolation Algorithm is the best, and the Wavelet Transform is better than the Fourier Transform can be made.
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