Mladen Stojic, President of Hexagon Geospatial
Dynamic Panoramic is a column by Mladen Stojic, President of Hexagon Geospatial. Mr. Stojic is a renowned geospatial industry expert who shares his insights into how geospatial information is increasingly being used to drive critical decisions in organizations of all sizes.
Organizations Can Now Maximize the Power of Point Clouds
September 24th, 2012 by Mladen Stojic, President of Hexagon Geospatial
Point clouds provide a wealth of geospatial information required for fast and effective decision-making. Though the process of extracting the data can be cumbersome and time consuming, often resulting in the data being unused or irrelevant.
With data essentially overflowing, it is becoming more difficult for end-users to manage, distribute, exploit, and visualize their point data from the desktop through to the server and over to the world.
As such, organizations require the right tools for truly unlocking the power of their point clouds. Fortunately, new point cloud analysis technology can help organizations leverage LiDAR and software-synthesized point clouds, which is ideal for forestry management, power corridor monitoring, and flood planning.
We recently hosted a webinar that showcased how our solutions do exactly this – fully unlocking the power of point clouds.
Intergraph’s point cloud analysis technology can help users leverage LiDAR and software-synthesized point clouds, showcasing our new tools for editing, measuring, analyzing, detecting change, RGB encoding, and batch processing. For enhanced collaboration, users can also organize and share their point cloud data.
Of course, there are organizations that don’t have LiDAR resources. For these users, there is a cost-effective alternative – the generation of high-density point clouds using point correlation with stereo imagery.
Point cloud data is highly valuable for many organizations. The key is being able to fully unleash and leverage this data for making decisions that impact the performance of any organization.