A cloud mask production method based on improved FCM algorithm for SDGSAT-1 multispectral images

doi:10.7523/j.ucas.2024.077

Abstract

Abstract: Sustainable development science satellite-1 (SDGSAT-1) is the first earth science satellite of the Chinese academy of sciences. It was successfully launched on November 5, 2021, aiming to achieve the global sustainable development goals and provide data for the study of interaction between human and nature. Due to the poor penetration of visible light to cloud, many optical satellite remote sensing images are inevitably disturbed by cloud. Therefore, cloud mask production is an important processing step in optical remote sensing processing system. However, SDGSAT-1 multispectral images lack the short-wave infrared band required by the traditional cloud mask production algorithm, so the traditional cloud mask production algorithm is difficult to apply. Therefore, this paper proposes a cloud mask production method for SDGSAT-1 multispectral images based on fuzzy c-means (FCM) algorithm. The method uses the four band combinations of brightness, NDWI, NDVI and HOT as input features, introduces Mahalanobis distance, uses the result of K-means algorithm as the initial clustering center, and finally FCM algorithm is executed to obtain the cloud mask. In the paper, the published SDGSAT-1 multispectral images are used to verify the performance of the proposed method and compare with other methods. The experimental results show that the average accuracy of the proposed method is 95.33%, which is higher than those of other methods.

Key words: SDGSAT-1, multispectral images, cloud mask production, FCM

CLC Number:

TP751.1

GE Kaiqiang, LIU Jiayin, WANG Feng. A cloud mask production method based on improved FCM algorithm for SDGSAT-1 multispectral images[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2024.077.

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