VD-LAB: A view-decoupled network with local-global aggregation bridge for airborne laser scanning point cloud classification

Author:

Li Jihao,Weinmann Martin,Sun Xian,Diao Wenhui,Feng Yingchao,Hinz Stefan,Fu Kun

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference71 articles.

1. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

2. Blomley, R., Weinmann, M., 2017. Using multi-scale features for the 3d semantic labeling of airborne laser scanning data. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4.

3. Semantic stereo for incidental satellite images;Bosch;IEEE Winter Conference on Applications of Computer Vision,2019

4. Convpoint: Continuous convolutions for point cloud processing;Boulch;Computers & Graphics,2020

5. Boulch, A., Saux, B.L., Audebert, N., 2017. Unstructured point cloud semantic labeling using deep segmentation networks. In: Pratikakis, I., Dupont, F., Ovsjanikov, M. (Eds.), 10th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics.

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