MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval. (arXiv:2401.16520v1 [cs.LG])

In the realm of Earth science, effective cloud property retrieval,
encompassing cloud masking, cloud phase classification, and cloud optical
thickness (COT) prediction, remains pivotal. Traditional methodologies
necessitate distinct models for each sensor instrument due to their unique
spectral characteristics. Recent strides in Earth Science research have
embraced machine learning and deep learning techniques to extract features from
satellite datasets' spectral observations. However, prevailing approaches lack
novel architectures accounting for hierarchical relationships among retrieval
tasks. Moreover, considering the spectral diversity among …

arxiv attention classification cloud cs.lg deep learning earth hierarchical masking optical pivotal prediction property regression retrieval science sensor