DAPnet: A Double Self-Attention Convolutional Network for Point Cloud Semantic Labeling

Airborne laser scanning (ALS) point clouds have complex structures, and their 3D semantic labeling has been a challenging task. It has three problems: 1) The difficulty of classifying point clouds around boundaries of objects from different classes, 2) the diversity of shapes within the same class,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Li Chen, Weiye Chen, Zewei Xu, Haozhe Huang, Shaowen Wang, Qing Zhu, Haifeng Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2021-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Airborne laser scanning (ALS) point clouds convolutional neural network (CNN) self-attention semantic labeling
Linkit:	https://ieeexplore.ieee.org/document/9540373/
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