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- W4382727490 abstract "A cost-effective method for cloud removal and reconstruction of remote sensing images has been a long-standing research challenge in remote sensing data processing. In this paper, we address this challenge by presenting a fast and simple method for cloud detection and cloud-free image reconstruction using Landsat-8 OLI and Sentinel-2 MSI series data. The proposed method utilizes the spectral difference between cloud pixels and transparent pixels to develop a fast and simple cloud detection algorithm for multispectral remote sensing sensors. Subsequently, the cloud-free data of the complementary image and the target image undergo histogram matching, and the cloud-free pixels of the complementary image are seamlessly integrated into the original image, leading to the generation of a cloud-free image reconstruction algorithm. Comparative analysis between the results obtained from our proposed method and the corresponding artificial results reveals an accuracy rate exceeding 90% and a high consistency in the reconstructed spatial spectrum. By addressing the need for cost-effective cloud removal and image reconstruction, our method contributes to the advancement of remote sensing data processing and applications." @default.
- W4382727490 created "2023-07-01" @default.
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- W4382727490 date "2023-01-01" @default.
- W4382727490 modified "2023-10-18" @default.
- W4382727490 title "Short Time Cloud-Free Image Reconstruction Based on Time Series Images" @default.
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- W4382727490 doi "https://doi.org/10.1109/jstars.2023.3290679" @default.
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