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Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification

  • Published:2020-04 Issue: Volume:162 Page:50-62
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Wen CongcongORCID,Yang Lina,Li XiangORCID,Peng Ling,Chi Tianhe

Publisher

Elsevier BV

Subject

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

Reference56 articles.

1. Estimating forest canopy fuel parameters using lidar data;Andersen;Remote Sens. Environ.,2005

2. Addressing overfitting on pointcloud classification using atrous xcrf;Arief;ISPRS J. Photogramm. Remote Sens.,2019

3. Dem generation from laser scanner data using adaptive tin models;Axelsson;Int. Arch. Photogramm. Remote Sens.,2000

4. Urban 3d segmentation and modelling from street view images and lidar point clouds;Babahajiani;Mach. Vis. Appl.,2017

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

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2. Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation;International Journal of Applied Earth Observation and Geoinformation;2024-08

3. Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

4. Cross-layer Features Fusion Network with Attention MLP for ALS Point Cloud Segmentation;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

5. PointMM: Point Cloud Semantic Segmentation CNN under Multi-Spatial Feature Encoding and Multi-Head Attention Pooling;Remote Sensing;2024-03-31
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