2023/12/08 by Gregor von Laszewski, von Laszewski, Gregor, Ruochen Gu +1
Computer Science · Engineering · Environmental Science · #Advanced Image Fusion Techniques #Artificial Intelligence (cs.AI) #Atmospheric aerosols and clouds #Distributed #FOS: Computer and information sciences #Parallel #Solar Radiation and Photovoltaics #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2312.04799
openalex publication_date 2023/12/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Cloud masking is a crucial task that is well-motivated for meteorology and its applications in environmental and atmospheric sciences. Its goal is, given satellite images, to accurately generate cloud masks that identify each pixel in image to contain either cloud or clear sky. In this paper, we summarize some of the ongoing research activities in cloud masking, with a focus on the research and benchmark currently conducted in MLCommons Science Working Group. This overview is produced with the hope that others will have an easier time getting started and collaborate on the activities related to MLCommons Cloud Mask Benchmark.