Short Time Cloud-Free Image Reconstruction Based on Time Series Images

A cost-effective method for cloud removal and reconstruction of remote sensing images has been a long-standing research challenge in data processing. In this paper, we address by presenting fast simple detection cloud-free image using Landsat-8 OLI Sentinel-2 MSI series data. The proposed utilizes the spectral difference between pixels transparent to develop algorithm multispectral sensors. Subsequently, complementary target undergo histogram matching, are seamlessly integrated into original image, leading generation algorithm. Comparative analysis results obtained from our corresponding artificial reveals an accuracy rate exceeding 90% high consistency reconstructed spatial spectrum. By addressing need reconstruction, contributes advancement processing applications.