Construction of cloud detection sample library based on Landsat-8 data and semi-supervised learning

Jianlin Zhou; Bowen Zhao; Xiaoxing Feng; Yaxing Sun

doi:10.1117/12.3011622

7 December 2023 Construction of cloud detection sample library based on Landsat-8 data and semi-supervised learning

Jianlin Zhou, Bowen Zhao, Xiaoxing Feng, Yaxing Sun

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411Q (2023) https://doi.org/10.1117/12.3011622
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Cloud detection of remote sensing images is an important preprocessing step for remote sensing image applications. While machine learning (deep learning) methods improve the accuracy of cloud detection in remote sensing images, they put forward higher requirements for the quantity and quality of data sets. However, if you want to reconstruct the dataset by yourself, you generally need to select the training samples by manual visual interpretation, which will consume a lot of manpower and material resources. Previous research mainly focused on the optimization of cloud detection algorithms, and few studied the extraction of training samples. In order to construct a cloud detection dataset, this paper proposes an Erosion and Diversion-based semi-Supervised Learning (EDSL) model. Fmask algorithm is used to automatically obtain cloud masks from Landset-8 remote sensing images to construct a cloud detection dataset. The results show that the dataset constructed by EDSL model is better than Fmask algorithm. The precision of the dataset constructed by EDSL model reaches 0.93, which exceeds Fmask. At the same time, we use SVM algorithm to conduct experiments on this data set, and the results are equivalent to the data set constructed by human vision, which proves the scientific nature of this method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianlin Zhou, Bowen Zhao, Xiaoxing Feng, and Yaxing Sun "Construction of cloud detection sample library based on Landsat-8 data and semi-supervised learning", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411Q (7 December 2023); https://doi.org/10.1117/12.3011622

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