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- W2067861722 abstract "The development of remote geological interpretation technology is booming during recent years.However, there is a significant obstacle for extracting geology information from remote sensingimagery--the presence of clouds and their shadows. Diverse techniques have been proposed includingdifferent algorithms such as filtering algorithm and multi-temporal cloud removing algorithm to solvethe problem. This paper presents a modified solution to denoise the haze, based on ETM+ imagery.First of all, wavelet transform is applied to Band1, Band2 and Band3 imagery to determine the clearregion and different levels of cloud regions. Then all pixels of the ETM+ imagery are classified tospecific cover types after the cluster analysis of band4, Band5 and Band7. At last, the mean reflectancematching is performed in the first three bands separately according to different cover types in both clearregion and cloud region. Above all, the method is implemented by IDL. The results show that thismodified method not only can quantitatively determine the cloud area but also can remove cloud fromimagery efficiently. Moreover, compared with the homomorphic filtering method, the experimentresults of the proposed method is much more satisfying in Geology Interpretation." @default.
- W2067861722 created "2016-06-24" @default.
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- W2067861722 date "2008-12-28" @default.
- W2067861722 modified "2023-10-01" @default.
- W2067861722 title "Quantitative improvement in geology interpretation from remotely sensed data by denoising the haze" @default.
- W2067861722 doi "https://doi.org/10.1117/12.815896" @default.
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