The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 849–851, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-849-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 849–851, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-849-2020

  21 Aug 2020

21 Aug 2020

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

X. Y. Zhou1 and L. Sun2 X. Y. Zhou and L. Sun
  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
  • 2Geomatics College, Shandong University of Science and Technology, Qingdao, China

Keywords: Cloud Shadow Detection, Cloud Shadow Probability, Landsat 8, Land Type Database, GlobeLand30, Pixel Database

Abstract. 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.