Removing Thick Clouds in Landsat Images
نویسنده
چکیده
Landsat images provide the satellite observations of the earth’s land surface. Due to the nature, Landsat images are highly affected by thick clouds. A new method based on a modified neighborhood similar pixel interpolator (NSPI) approach was developed for improving quality and availability of landsat images . It was developed for filling gaps due to Landsat ETM+ Scan line Corrector (SLC) –off problem. The performance of this method was evaluated with both simulated and real cloudy images and compared with that of a contextual multiple linear prediction (CMLP) method. The results show that the modified NSPI approach can significantly diminish the edge effects by CMLP. The modified NSPI approach is more accurate than by CMLP, especially when the cloudfree auxillary and cloudy images are acquired from different seasons and have different spectral characteristics.
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