s Multi-temporal Cloud Pixels Reconstruction Method for Optical Remote Sensing Satellite Images

Background: The existence of cloud pixels reduces the practicability of optical satellite remote sensing data. Existing cloud reconstruction methods generally cannot solve the following problems: (1) Large-scale thick clouds cannot be well reconstructed. (2) There are high requirements for reconstructed data. (3) Most data used to reconstruct are single temporal images. Methods: To overcome these problems, a new multi-temporal weighted aggregation method is proposed. Specifically, we adopt a multi-temporal iterative aggregation method for cloud pixels to reconstruct and a multi-temporal weighted aggregation method for cloud shadow pixels to reconstruct. Results: Finally, the experiment proves that our method can quickly and accurately complete the cloud reconstruction, and under the effective uniform color strategy, a cloud- free image with accurate geometric position and uniform gray scale can be obtained. Conclusion: Experiments prove that the pixel reconstruction method proposed in this paper has achieved good cloud and cloud shadow pixel reconstruction effects in different types of ground objects.