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ISSN (Print): 2210-2981
ISSN (Online): 2210-2914

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Research Article Section: Remote Sensing

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

Author(s): Huiqian Liu, Ruofei Zhong*, Haiyin Wang, Shiyong Wu, Qingyang Li and Cankun Yang

Volume 2, Issue 6, 2022

Published on: 25 August, 2022

Page: [479 - 488] Pages: 10

DOI: 10.2174/2210298102666220616114622

Abstract

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.

Keywords: Cloud pixels reconstruction, multi-temporal, optical remote sensing satellite images, aggregation, large-scale areas, thick cloud.

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