In this work, we propose a novel, fast, and memory-efficient unsupervised statistical method, combined with an unsupervised deep learning (DL) model, for de-snowing 3D LiDAR point clouds in a fully ...
Abstract: This study proposes the Feature-Enhanced Residual Attention U-Net (FERA-Net) model, which is trained using cloud mask label data generated by the semiautomatic CM7 method. The aim is to ...
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