A novel noise-robustness and rotation-invariant LADAR point cloud target classification method

Shangwei Guo; Jun Li; Zhengchao Lai; Shaokun Han

doi:10.1016/j.engappai.2023.107103

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A novel noise-robustness and rotation-invariant LADAR point cloud target classification method

Shangwei Guo Jun Li Zhengchao Lai Shaokun Han

Year: 2023 Journal: Engineering Applications of Artificial Intelligence Vol: 126 Pages: 107103-107103 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2023.107103

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Keywords:

Computer science Discriminative model Artificial intelligence Point cloud Convolutional neural network Robustness (evolution) Pattern recognition (psychology) Noise (video) Computer vision Image (mathematics)

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Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A novel noise-robustness and rotation-invariant LADAR point cloud target classification method

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