吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (增刊): 328-0333.

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Stripe noise removal method in MODIS imagery based on block optimal linear predictor

GU Ling-jia,REN Rui-zhi,ZHANG Shuang   

  1. College of Electronic Science and Engineering,Jilin University,Changchun 130012,China
  • Received:2009-12-22 Online:2010-09-01 Published:2010-09-01

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Abstract:

The stripe noise removal method based on block optimal linear predictor is developed to reduce strip noise effects in moderate resolution imaging spectrumradiometer(MODIS) imagery. Through analyzing the correlation between detector images, the original image is divided to several detector images which include stripe noise images and nostripe noise images. By using the block optimal linear predictor, the new detector images can be obtained with nostripe noise images, thus the stripe noise can be removed from the original image. Experimental results demonstrate the proposed method can achieve better results than present methods, which effectively remove stripe noise and preserve most information of original image. The method is proved to be perfect for stripe noise removal in MODIS imagery.

Key words: computer application, stripe noise, block optimal linear predictor, MODIS imagery, interpolation method

CLC Number: 

  • TP75
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