Tool Name | Date | Tool Type | Rating | |
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1 | Point Cloud Library (PCL | 13 Aug 2011 | Point Cloud Analysis | |
Keywords: point clouds, visualization, processing, segmentation, filtering, feature estimation, registration
License: BSD license Description: The Point Cloud Library (or PCL) is a large scale, open project for point cloud processing. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. PCL is released under the terms of the BSD license and is open source software. It is free for commercial and research use. The project is financially supported by multiple companies, including: Willow Garage, NVidia, Google, and Toyota |
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2 | Lidar360 | 5 Jul 2018 | Visualization, Point Cloud Analysis, DEM generation, DEM Analysis, Data Management / Handling, Software Suite | |
Keywords: Point Cloud Processing, Terrain Classification, ALS Forestry, TLS Forestry, Lidar Power line Survey
License: Commercial License Description: Lidar360 is a comprehensive point cloud post-processing software suite developed by GreenValley International Inc (GVI). It offers a huge collection of tools and functions, from basic point cloud management tools like outlier removal, normalization, projection, and extraction, to advanced algorithms for industry-specific applications, e.g. Terrain, ALS/TLS Forestry, and Powerline Survey. The Lidar360 suite consists of 5 modules (as of June 2018): 1. Framework -- contains a number of core toolsets to effectively visualize and interact with lidar point cloud including display modes, statistics, data management, classification tools, vector editing and strip adjustment; 2. Terrain -- a suite of GIS tools for calculating slope, roughness, aspect & contours from surface models. Additionally, it contains tools for repairing surface models, i.e., spikes, holes and extraneous values; 3 & 4. ALS/TLS Forestry -- The ALS Forestry functions allow users to calculate essential forest metrics including elevation, intensity, canopy cover, LAI etc., and provides regression models and segmentation algorithms such as CHM Segmentation & Point Cloud Segmentation. The TLS Forestry tools are specifically designed to work with terrestrial lidar data. It offers a wealth of tools including Gaussian Mixture Model Classification and TLS Point Cloud segmentation, enabling the users to better classify ground, leaf and trunk points and segment individual trees from TLS point cloud data; and, 5. Power |