Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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3d Forest | 41 | 9 months ago | 2 | gpl-3.0 | C++ | |||||
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins. | ||||||||||
Hypelcnn | 38 | 10 months ago | gpl-3.0 | Python | ||||||
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data | ||||||||||
Laserlib | 23 | 7 years ago | lgpl-3.0 | C++ | ||||||
Library for 3D LiDAR perception | ||||||||||
3d Data Essentials | 22 | 5 months ago | 2 | |||||||
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology. | ||||||||||
Lidar Prod | 11 | 7 months ago | 5 | bsd-3-clause | Python | |||||
A production AI brick that augments a rule-based Lidar classification with AI predictions and vector database. | ||||||||||
Hrwn | 9 | 3 years ago | 1 | Python | ||||||
This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture] | ||||||||||
Ieee_grsl_endnet | 8 | 3 years ago | Python | |||||||
Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020. | ||||||||||
Point Planenet | 7 | 3 years ago | Python | |||||||
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis | ||||||||||
Lidar_cnn_classification_pointnet | 5 | 5 years ago | apache-2.0 | Python | ||||||
It will classify Lidar point using pointnet CNN model build in keras |