A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT

Zhou, X. Y.; Sun, L.

Cloud shadow detection is one of the basic step for remote sensing image processing. The threshold method is commonly used currently because of its easy implementation and good accuracy. Aiming at the problems that common threshold settings are difficult to meet the complex surface conditions and the results is two-value, this paper proposes a detection method of cloud shadow pixels based on land cover data support by calculating shadow probabilities using Landsat 8 data as an example. Then, a validation with visual interpretation is used to verify the accuracy. The results show that the method can achieve high cloud shadow detection results.

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Zitierform:

Zhou, X. Y. / Sun, L.: A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT. 2020. Copernicus Publications.

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Rechteinhaber: X. Y. Zhou

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