The author explores the performance of various deep learning models for cloud detection and segmentation in remote sensing imagery, highlighting the strengths and weaknesses of each algorithm across different datasets.
Deep learning algorithms are evaluated for cloud detection and segmentation in remote sensing imagery, highlighting the importance of dataset compatibility and algorithm selection.